{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The 'Archdata' Package for R\n",
    "\n",
    "A number of very useful datasets containing archaeological data have been collected together into a single package by David L. Carlson and Georg Roth. You can find the information about the package at [the cran archive](https://cran.rstudio.com/web/packages/archdata/archdata.pdf). In this notebook, we've already installed the package when the Binder was created. We will invoke it with the `library` command, and then do a few example visualizations and calculations.\n",
    "\n",
    "At the end of this notebook, we have provided the code to load up mineralogical data from Graham's 2002 thesis, and we encourage you to explore it by copying and modifying the other example code. Add cells explaining what each code block is doing; you will need to search the various functions. You should try to find their actual manual pages, as well as other tutorials and blog posts where people are using these functions (add markdown links to make your text readable)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# to find out what's in this package, run the following\n",
    "?archdata\n",
    "\n",
    "# or go to\n",
    "# https://cran.rstudio.com/web/packages/archdata/archdata.pdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(\"archdata\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Site</th><th scope=col>Al</th><th scope=col>Fe</th><th scope=col>Mg</th><th scope=col>Ca</th><th scope=col>Na</th><th scope=col>K</th><th scope=col>Ti</th><th scope=col>P</th><th scope=col>Mn</th><th scope=col>Sb</th><th scope=col>Pb</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Mancetter</td><td>2.51     </td><td>0.53     </td><td>0.56     </td><td>6.98     </td><td>17.44    </td><td>0.73     </td><td>0.09     </td><td>0.15     </td><td>0.58     </td><td>0.12     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.36     </td><td>0.49     </td><td>0.53     </td><td>6.71     </td><td>17.69    </td><td>0.68     </td><td>0.09     </td><td>0.13     </td><td>0.40     </td><td>0.23     </td><td>0.04     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.30     </td><td>0.36     </td><td>0.49     </td><td>8.10     </td><td>15.94    </td><td>0.68     </td><td>0.07     </td><td>0.13     </td><td>0.77     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.42     </td><td>0.52     </td><td>0.56     </td><td>6.93     </td><td>17.59    </td><td>0.72     </td><td>0.09     </td><td>0.14     </td><td>0.47     </td><td>0.18     </td><td>0.02     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.32     </td><td>0.37     </td><td>0.51     </td><td>7.51     </td><td>16.27    </td><td>0.69     </td><td>0.07     </td><td>0.13     </td><td>0.21     </td><td>0.00     </td><td>0.02     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.34     </td><td>0.56     </td><td>0.52     </td><td>6.10     </td><td>18.61    </td><td>0.69     </td><td>0.10     </td><td>0.11     </td><td>0.30     </td><td>0.32     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.50     </td><td>0.46     </td><td>0.50     </td><td>6.83     </td><td>17.46    </td><td>0.79     </td><td>0.08     </td><td>0.15     </td><td>0.40     </td><td>0.06     </td><td>0.02     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.47     </td><td>0.53     </td><td>0.55     </td><td>6.55     </td><td>18.55    </td><td>0.75     </td><td>0.09     </td><td>0.12     </td><td>0.35     </td><td>0.23     </td><td>0.04     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.41     </td><td>0.67     </td><td>0.62     </td><td>6.18     </td><td>18.33    </td><td>0.81     </td><td>0.12     </td><td>0.14     </td><td>0.52     </td><td>0.31     </td><td>0.07     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.64     </td><td>0.50     </td><td>0.63     </td><td>7.76     </td><td>15.66    </td><td>0.63     </td><td>0.08     </td><td>0.16     </td><td>0.21     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.77     </td><td>0.58     </td><td>0.50     </td><td>7.33     </td><td>16.10    </td><td>0.68     </td><td>0.08     </td><td>0.14     </td><td>0.57     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.43     </td><td>0.69     </td><td>0.72     </td><td>6.27     </td><td>17.84    </td><td>0.98     </td><td>0.12     </td><td>0.22     </td><td>0.63     </td><td>0.13     </td><td>0.04     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.50     </td><td>0.36     </td><td>0.53     </td><td>8.51     </td><td>15.46    </td><td>0.60     </td><td>0.07     </td><td>0.16     </td><td>0.45     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.63     </td><td>0.46     </td><td>0.47     </td><td>7.25     </td><td>16.26    </td><td>0.59     </td><td>0.07     </td><td>0.12     </td><td>0.30     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.66     </td><td>0.41     </td><td>0.50     </td><td>7.35     </td><td>17.12    </td><td>0.63     </td><td>0.07     </td><td>0.15     </td><td>0.11     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.43     </td><td>0.62     </td><td>0.52     </td><td>6.89     </td><td>17.17    </td><td>0.69     </td><td>0.08     </td><td>0.13     </td><td>0.44     </td><td>0.18     </td><td>0.05     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.55     </td><td>0.53     </td><td>0.52     </td><td>7.91     </td><td>16.20    </td><td>0.62     </td><td>0.07     </td><td>0.15     </td><td>0.38     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.44     </td><td>0.54     </td><td>0.56     </td><td>6.65     </td><td>17.68    </td><td>0.97     </td><td>0.10     </td><td>0.12     </td><td>0.40     </td><td>0.25     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.22     </td><td>0.34     </td><td>0.46     </td><td>7.08     </td><td>16.14    </td><td>0.63     </td><td>0.06     </td><td>0.15     </td><td>0.12     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.59     </td><td>0.37     </td><td>0.46     </td><td>7.57     </td><td>15.71    </td><td>0.56     </td><td>0.07     </td><td>0.16     </td><td>0.07     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.45     </td><td>0.48     </td><td>0.55     </td><td>6.84     </td><td>17.73    </td><td>0.76     </td><td>0.09     </td><td>0.14     </td><td>0.62     </td><td>0.14     </td><td>0.05     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.42     </td><td>0.49     </td><td>0.51     </td><td>7.00     </td><td>16.32    </td><td>0.93     </td><td>0.08     </td><td>0.14     </td><td>0.42     </td><td>0.10     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.27     </td><td>0.38     </td><td>0.48     </td><td>7.88     </td><td>16.28    </td><td>0.52     </td><td>0.07     </td><td>0.14     </td><td>0.26     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.48     </td><td>0.55     </td><td>0.55     </td><td>6.64     </td><td>18.76    </td><td>0.75     </td><td>0.09     </td><td>0.12     </td><td>0.36     </td><td>0.24     </td><td>0.04     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.27     </td><td>0.32     </td><td>0.39     </td><td>6.75     </td><td>17.95    </td><td>0.75     </td><td>0.07     </td><td>0.12     </td><td>0.18     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.32     </td><td>0.84     </td><td>0.55     </td><td>6.19     </td><td>19.78    </td><td>0.70     </td><td>0.10     </td><td>0.11     </td><td>0.24     </td><td>0.37     </td><td>0.08     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.46     </td><td>0.49     </td><td>0.54     </td><td>6.82     </td><td>18.07    </td><td>0.75     </td><td>0.08     </td><td>0.13     </td><td>0.60     </td><td>0.13     </td><td>0.04     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.67     </td><td>0.34     </td><td>0.49     </td><td>6.94     </td><td>18.04    </td><td>0.54     </td><td>0.06     </td><td>0.11     </td><td>0.44     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.47     </td><td>0.42     </td><td>0.51     </td><td>7.57     </td><td>17.94    </td><td>0.76     </td><td>0.07     </td><td>0.14     </td><td>0.41     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Mancetter</td><td>2.40     </td><td>0.45     </td><td>0.54     </td><td>7.62     </td><td>17.76    </td><td>0.64     </td><td>0.08     </td><td>0.13     </td><td>0.40     </td><td>0.11     </td><td>0.02     </td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.31     </td><td>0.88     </td><td>0.57     </td><td>6.42     </td><td>18.90    </td><td>0.76     </td><td>0.10     </td><td>0.12     </td><td>0.28     </td><td>0.30     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.50     </td><td>0.78     </td><td>0.56     </td><td>6.46     </td><td>18.57    </td><td>0.73     </td><td>0.11     </td><td>0.12     </td><td>0.26     </td><td>0.27     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.57     </td><td>0.80     </td><td>0.56     </td><td>6.43     </td><td>18.41    </td><td>0.75     </td><td>0.12     </td><td>0.12     </td><td>0.26     </td><td>0.26     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.24     </td><td>0.84     </td><td>0.56     </td><td>6.26     </td><td>19.49    </td><td>0.73     </td><td>0.09     </td><td>0.12     </td><td>0.23     </td><td>0.32     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.37     </td><td>0.44     </td><td>0.50     </td><td>6.78     </td><td>17.15    </td><td>0.70     </td><td>0.08     </td><td>0.15     </td><td>0.45     </td><td>0.06     </td><td>0.02     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.48     </td><td>0.77     </td><td>0.55     </td><td>6.36     </td><td>18.30    </td><td>0.73     </td><td>0.11     </td><td>0.12     </td><td>0.26     </td><td>0.26     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.26     </td><td>0.58     </td><td>0.61     </td><td>6.16     </td><td>19.47    </td><td>0.74     </td><td>0.10     </td><td>0.11     </td><td>0.21     </td><td>0.43     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.59     </td><td>0.48     </td><td>0.60     </td><td>8.76     </td><td>14.50    </td><td>0.51     </td><td>0.07     </td><td>0.13     </td><td>0.27     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.25     </td><td>0.66     </td><td>0.52     </td><td>6.20     </td><td>18.06    </td><td>0.64     </td><td>0.09     </td><td>0.11     </td><td>0.24     </td><td>0.31     </td><td>0.04     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.43     </td><td>0.48     </td><td>0.56     </td><td>7.60     </td><td>15.57    </td><td>0.62     </td><td>0.08     </td><td>0.16     </td><td>0.49     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.49     </td><td>0.93     </td><td>0.55     </td><td>6.18     </td><td>16.54    </td><td>1.10     </td><td>0.12     </td><td>0.13     </td><td>0.25     </td><td>0.28     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.46     </td><td>0.76     </td><td>0.55     </td><td>6.37     </td><td>17.95    </td><td>0.72     </td><td>0.11     </td><td>0.12     </td><td>0.26     </td><td>0.27     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.47     </td><td>1.05     </td><td>0.56     </td><td>7.62     </td><td>17.02    </td><td>0.70     </td><td>0.11     </td><td>0.14     </td><td>0.26     </td><td>0.23     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.16     </td><td>0.74     </td><td>0.53     </td><td>6.09     </td><td>17.25    </td><td>0.65     </td><td>0.09     </td><td>0.11     </td><td>0.25     </td><td>0.32     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.26     </td><td>0.58     </td><td>0.52     </td><td>6.41     </td><td>17.28    </td><td>0.67     </td><td>0.09     </td><td>0.13     </td><td>0.28     </td><td>0.25     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.29     </td><td>0.78     </td><td>0.56     </td><td>6.24     </td><td>18.45    </td><td>0.70     </td><td>0.10     </td><td>0.11     </td><td>0.26     </td><td>0.32     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.30     </td><td>0.78     </td><td>0.53     </td><td>6.28     </td><td>18.20    </td><td>0.65     </td><td>0.10     </td><td>0.11     </td><td>0.25     </td><td>0.31     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.52     </td><td>0.65     </td><td>0.55     </td><td>6.16     </td><td>18.69    </td><td>0.74     </td><td>0.11     </td><td>0.10     </td><td>0.29     </td><td>0.33     </td><td>0.06     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.28     </td><td>0.68     </td><td>0.55     </td><td>6.37     </td><td>18.60    </td><td>0.68     </td><td>0.10     </td><td>0.11     </td><td>0.24     </td><td>0.32     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.25     </td><td>0.62     </td><td>0.56     </td><td>5.55     </td><td>19.47    </td><td>0.74     </td><td>0.13     </td><td>0.11     </td><td>0.31     </td><td>0.42     </td><td>0.05     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.32     </td><td>0.80     </td><td>0.54     </td><td>6.34     </td><td>18.25    </td><td>0.66     </td><td>0.10     </td><td>0.11     </td><td>0.25     </td><td>0.32     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.35     </td><td>0.74     </td><td>0.55     </td><td>6.54     </td><td>18.44    </td><td>0.71     </td><td>0.10     </td><td>0.11     </td><td>0.26     </td><td>0.29     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.45     </td><td>0.42     </td><td>0.61     </td><td>9.79     </td><td>16.22    </td><td>0.62     </td><td>0.08     </td><td>0.13     </td><td>0.14     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.19     </td><td>0.84     </td><td>0.54     </td><td>6.13     </td><td>17.99    </td><td>0.69     </td><td>0.10     </td><td>0.11     </td><td>0.24     </td><td>0.33     </td><td>0.04     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.62     </td><td>0.82     </td><td>0.54     </td><td>6.25     </td><td>17.79    </td><td>0.73     </td><td>0.11     </td><td>0.09     </td><td>0.29     </td><td>0.32     </td><td>0.04     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.35     </td><td>0.65     </td><td>0.54     </td><td>6.73     </td><td>17.91    </td><td>0.72     </td><td>0.10     </td><td>0.12     </td><td>0.28     </td><td>0.25     </td><td>0.06     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.44     </td><td>0.35     </td><td>0.51     </td><td>7.70     </td><td>16.27    </td><td>0.62     </td><td>0.07     </td><td>0.13     </td><td>0.16     </td><td>0.00     </td><td>0.01     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.42     </td><td>0.68     </td><td>0.53     </td><td>6.15     </td><td>17.19    </td><td>0.77     </td><td>0.13     </td><td>0.11     </td><td>0.27     </td><td>0.26     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.52     </td><td>0.79     </td><td>0.56     </td><td>6.37     </td><td>18.11    </td><td>0.74     </td><td>0.12     </td><td>0.11     </td><td>0.26     </td><td>0.27     </td><td>0.03     </td></tr>\n",
       "\t<tr><td>Leicester</td><td>2.37     </td><td>0.75     </td><td>0.55     </td><td>6.33     </td><td>18.55    </td><td>0.69     </td><td>0.10     </td><td>0.11     </td><td>0.25     </td><td>0.32     </td><td>0.03     </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllllllll}\n",
       " Site & Al & Fe & Mg & Ca & Na & K & Ti & P & Mn & Sb & Pb\\\\\n",
       "\\hline\n",
       "\t Mancetter & 2.51      & 0.53      & 0.56      & 6.98      & 17.44     & 0.73      & 0.09      & 0.15      & 0.58      & 0.12      & 0.03     \\\\\n",
       "\t Mancetter & 2.36      & 0.49      & 0.53      & 6.71      & 17.69     & 0.68      & 0.09      & 0.13      & 0.40      & 0.23      & 0.04     \\\\\n",
       "\t Mancetter & 2.30      & 0.36      & 0.49      & 8.10      & 15.94     & 0.68      & 0.07      & 0.13      & 0.77      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.42      & 0.52      & 0.56      & 6.93      & 17.59     & 0.72      & 0.09      & 0.14      & 0.47      & 0.18      & 0.02     \\\\\n",
       "\t Mancetter & 2.32      & 0.37      & 0.51      & 7.51      & 16.27     & 0.69      & 0.07      & 0.13      & 0.21      & 0.00      & 0.02     \\\\\n",
       "\t Mancetter & 2.34      & 0.56      & 0.52      & 6.10      & 18.61     & 0.69      & 0.10      & 0.11      & 0.30      & 0.32      & 0.03     \\\\\n",
       "\t Mancetter & 2.50      & 0.46      & 0.50      & 6.83      & 17.46     & 0.79      & 0.08      & 0.15      & 0.40      & 0.06      & 0.02     \\\\\n",
       "\t Mancetter & 2.47      & 0.53      & 0.55      & 6.55      & 18.55     & 0.75      & 0.09      & 0.12      & 0.35      & 0.23      & 0.04     \\\\\n",
       "\t Mancetter & 2.41      & 0.67      & 0.62      & 6.18      & 18.33     & 0.81      & 0.12      & 0.14      & 0.52      & 0.31      & 0.07     \\\\\n",
       "\t Mancetter & 2.64      & 0.50      & 0.63      & 7.76      & 15.66     & 0.63      & 0.08      & 0.16      & 0.21      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.77      & 0.58      & 0.50      & 7.33      & 16.10     & 0.68      & 0.08      & 0.14      & 0.57      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.43      & 0.69      & 0.72      & 6.27      & 17.84     & 0.98      & 0.12      & 0.22      & 0.63      & 0.13      & 0.04     \\\\\n",
       "\t Mancetter & 2.50      & 0.36      & 0.53      & 8.51      & 15.46     & 0.60      & 0.07      & 0.16      & 0.45      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.63      & 0.46      & 0.47      & 7.25      & 16.26     & 0.59      & 0.07      & 0.12      & 0.30      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.66      & 0.41      & 0.50      & 7.35      & 17.12     & 0.63      & 0.07      & 0.15      & 0.11      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.43      & 0.62      & 0.52      & 6.89      & 17.17     & 0.69      & 0.08      & 0.13      & 0.44      & 0.18      & 0.05     \\\\\n",
       "\t Mancetter & 2.55      & 0.53      & 0.52      & 7.91      & 16.20     & 0.62      & 0.07      & 0.15      & 0.38      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.44      & 0.54      & 0.56      & 6.65      & 17.68     & 0.97      & 0.10      & 0.12      & 0.40      & 0.25      & 0.03     \\\\\n",
       "\t Mancetter & 2.22      & 0.34      & 0.46      & 7.08      & 16.14     & 0.63      & 0.06      & 0.15      & 0.12      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.59      & 0.37      & 0.46      & 7.57      & 15.71     & 0.56      & 0.07      & 0.16      & 0.07      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.45      & 0.48      & 0.55      & 6.84      & 17.73     & 0.76      & 0.09      & 0.14      & 0.62      & 0.14      & 0.05     \\\\\n",
       "\t Mancetter & 2.42      & 0.49      & 0.51      & 7.00      & 16.32     & 0.93      & 0.08      & 0.14      & 0.42      & 0.10      & 0.03     \\\\\n",
       "\t Mancetter & 2.27      & 0.38      & 0.48      & 7.88      & 16.28     & 0.52      & 0.07      & 0.14      & 0.26      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.48      & 0.55      & 0.55      & 6.64      & 18.76     & 0.75      & 0.09      & 0.12      & 0.36      & 0.24      & 0.04     \\\\\n",
       "\t Leicester & 2.27      & 0.32      & 0.39      & 6.75      & 17.95     & 0.75      & 0.07      & 0.12      & 0.18      & 0.00      & 0.01     \\\\\n",
       "\t Leicester & 2.32      & 0.84      & 0.55      & 6.19      & 19.78     & 0.70      & 0.10      & 0.11      & 0.24      & 0.37      & 0.08     \\\\\n",
       "\t Mancetter & 2.46      & 0.49      & 0.54      & 6.82      & 18.07     & 0.75      & 0.08      & 0.13      & 0.60      & 0.13      & 0.04     \\\\\n",
       "\t Mancetter & 2.67      & 0.34      & 0.49      & 6.94      & 18.04     & 0.54      & 0.06      & 0.11      & 0.44      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.47      & 0.42      & 0.51      & 7.57      & 17.94     & 0.76      & 0.07      & 0.14      & 0.41      & 0.00      & 0.01     \\\\\n",
       "\t Mancetter & 2.40      & 0.45      & 0.54      & 7.62      & 17.76     & 0.64      & 0.08      & 0.13      & 0.40      & 0.11      & 0.02     \\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t Leicester & 2.31      & 0.88      & 0.57      & 6.42      & 18.90     & 0.76      & 0.10      & 0.12      & 0.28      & 0.30      & 0.03     \\\\\n",
       "\t Leicester & 2.50      & 0.78      & 0.56      & 6.46      & 18.57     & 0.73      & 0.11      & 0.12      & 0.26      & 0.27      & 0.03     \\\\\n",
       "\t Leicester & 2.57      & 0.80      & 0.56      & 6.43      & 18.41     & 0.75      & 0.12      & 0.12      & 0.26      & 0.26      & 0.03     \\\\\n",
       "\t Leicester & 2.24      & 0.84      & 0.56      & 6.26      & 19.49     & 0.73      & 0.09      & 0.12      & 0.23      & 0.32      & 0.03     \\\\\n",
       "\t Leicester & 2.37      & 0.44      & 0.50      & 6.78      & 17.15     & 0.70      & 0.08      & 0.15      & 0.45      & 0.06      & 0.02     \\\\\n",
       "\t Leicester & 2.48      & 0.77      & 0.55      & 6.36      & 18.30     & 0.73      & 0.11      & 0.12      & 0.26      & 0.26      & 0.03     \\\\\n",
       "\t Leicester & 2.26      & 0.58      & 0.61      & 6.16      & 19.47     & 0.74      & 0.10      & 0.11      & 0.21      & 0.43      & 0.03     \\\\\n",
       "\t Leicester & 2.59      & 0.48      & 0.60      & 8.76      & 14.50     & 0.51      & 0.07      & 0.13      & 0.27      & 0.00      & 0.01     \\\\\n",
       "\t Leicester & 2.25      & 0.66      & 0.52      & 6.20      & 18.06     & 0.64      & 0.09      & 0.11      & 0.24      & 0.31      & 0.04     \\\\\n",
       "\t Leicester & 2.43      & 0.48      & 0.56      & 7.60      & 15.57     & 0.62      & 0.08      & 0.16      & 0.49      & 0.00      & 0.01     \\\\\n",
       "\t Leicester & 2.49      & 0.93      & 0.55      & 6.18      & 16.54     & 1.10      & 0.12      & 0.13      & 0.25      & 0.28      & 0.03     \\\\\n",
       "\t Leicester & 2.46      & 0.76      & 0.55      & 6.37      & 17.95     & 0.72      & 0.11      & 0.12      & 0.26      & 0.27      & 0.03     \\\\\n",
       "\t Leicester & 2.47      & 1.05      & 0.56      & 7.62      & 17.02     & 0.70      & 0.11      & 0.14      & 0.26      & 0.23      & 0.03     \\\\\n",
       "\t Leicester & 2.16      & 0.74      & 0.53      & 6.09      & 17.25     & 0.65      & 0.09      & 0.11      & 0.25      & 0.32      & 0.03     \\\\\n",
       "\t Leicester & 2.26      & 0.58      & 0.52      & 6.41      & 17.28     & 0.67      & 0.09      & 0.13      & 0.28      & 0.25      & 0.03     \\\\\n",
       "\t Leicester & 2.29      & 0.78      & 0.56      & 6.24      & 18.45     & 0.70      & 0.10      & 0.11      & 0.26      & 0.32      & 0.03     \\\\\n",
       "\t Leicester & 2.30      & 0.78      & 0.53      & 6.28      & 18.20     & 0.65      & 0.10      & 0.11      & 0.25      & 0.31      & 0.03     \\\\\n",
       "\t Leicester & 2.52      & 0.65      & 0.55      & 6.16      & 18.69     & 0.74      & 0.11      & 0.10      & 0.29      & 0.33      & 0.06     \\\\\n",
       "\t Leicester & 2.28      & 0.68      & 0.55      & 6.37      & 18.60     & 0.68      & 0.10      & 0.11      & 0.24      & 0.32      & 0.03     \\\\\n",
       "\t Leicester & 2.25      & 0.62      & 0.56      & 5.55      & 19.47     & 0.74      & 0.13      & 0.11      & 0.31      & 0.42      & 0.05     \\\\\n",
       "\t Leicester & 2.32      & 0.80      & 0.54      & 6.34      & 18.25     & 0.66      & 0.10      & 0.11      & 0.25      & 0.32      & 0.03     \\\\\n",
       "\t Leicester & 2.35      & 0.74      & 0.55      & 6.54      & 18.44     & 0.71      & 0.10      & 0.11      & 0.26      & 0.29      & 0.03     \\\\\n",
       "\t Leicester & 2.45      & 0.42      & 0.61      & 9.79      & 16.22     & 0.62      & 0.08      & 0.13      & 0.14      & 0.00      & 0.01     \\\\\n",
       "\t Leicester & 2.19      & 0.84      & 0.54      & 6.13      & 17.99     & 0.69      & 0.10      & 0.11      & 0.24      & 0.33      & 0.04     \\\\\n",
       "\t Leicester & 2.62      & 0.82      & 0.54      & 6.25      & 17.79     & 0.73      & 0.11      & 0.09      & 0.29      & 0.32      & 0.04     \\\\\n",
       "\t Leicester & 2.35      & 0.65      & 0.54      & 6.73      & 17.91     & 0.72      & 0.10      & 0.12      & 0.28      & 0.25      & 0.06     \\\\\n",
       "\t Leicester & 2.44      & 0.35      & 0.51      & 7.70      & 16.27     & 0.62      & 0.07      & 0.13      & 0.16      & 0.00      & 0.01     \\\\\n",
       "\t Leicester & 2.42      & 0.68      & 0.53      & 6.15      & 17.19     & 0.77      & 0.13      & 0.11      & 0.27      & 0.26      & 0.03     \\\\\n",
       "\t Leicester & 2.52      & 0.79      & 0.56      & 6.37      & 18.11     & 0.74      & 0.12      & 0.11      & 0.26      & 0.27      & 0.03     \\\\\n",
       "\t Leicester & 2.37      & 0.75      & 0.55      & 6.33      & 18.55     & 0.69      & 0.10      & 0.11      & 0.25      & 0.32      & 0.03     \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Site | Al | Fe | Mg | Ca | Na | K | Ti | P | Mn | Sb | Pb | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| Mancetter | 2.51      | 0.53      | 0.56      | 6.98      | 17.44     | 0.73      | 0.09      | 0.15      | 0.58      | 0.12      | 0.03      | \n",
       "| Mancetter | 2.36      | 0.49      | 0.53      | 6.71      | 17.69     | 0.68      | 0.09      | 0.13      | 0.40      | 0.23      | 0.04      | \n",
       "| Mancetter | 2.30      | 0.36      | 0.49      | 8.10      | 15.94     | 0.68      | 0.07      | 0.13      | 0.77      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.42      | 0.52      | 0.56      | 6.93      | 17.59     | 0.72      | 0.09      | 0.14      | 0.47      | 0.18      | 0.02      | \n",
       "| Mancetter | 2.32      | 0.37      | 0.51      | 7.51      | 16.27     | 0.69      | 0.07      | 0.13      | 0.21      | 0.00      | 0.02      | \n",
       "| Mancetter | 2.34      | 0.56      | 0.52      | 6.10      | 18.61     | 0.69      | 0.10      | 0.11      | 0.30      | 0.32      | 0.03      | \n",
       "| Mancetter | 2.50      | 0.46      | 0.50      | 6.83      | 17.46     | 0.79      | 0.08      | 0.15      | 0.40      | 0.06      | 0.02      | \n",
       "| Mancetter | 2.47      | 0.53      | 0.55      | 6.55      | 18.55     | 0.75      | 0.09      | 0.12      | 0.35      | 0.23      | 0.04      | \n",
       "| Mancetter | 2.41      | 0.67      | 0.62      | 6.18      | 18.33     | 0.81      | 0.12      | 0.14      | 0.52      | 0.31      | 0.07      | \n",
       "| Mancetter | 2.64      | 0.50      | 0.63      | 7.76      | 15.66     | 0.63      | 0.08      | 0.16      | 0.21      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.77      | 0.58      | 0.50      | 7.33      | 16.10     | 0.68      | 0.08      | 0.14      | 0.57      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.43      | 0.69      | 0.72      | 6.27      | 17.84     | 0.98      | 0.12      | 0.22      | 0.63      | 0.13      | 0.04      | \n",
       "| Mancetter | 2.50      | 0.36      | 0.53      | 8.51      | 15.46     | 0.60      | 0.07      | 0.16      | 0.45      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.63      | 0.46      | 0.47      | 7.25      | 16.26     | 0.59      | 0.07      | 0.12      | 0.30      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.66      | 0.41      | 0.50      | 7.35      | 17.12     | 0.63      | 0.07      | 0.15      | 0.11      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.43      | 0.62      | 0.52      | 6.89      | 17.17     | 0.69      | 0.08      | 0.13      | 0.44      | 0.18      | 0.05      | \n",
       "| Mancetter | 2.55      | 0.53      | 0.52      | 7.91      | 16.20     | 0.62      | 0.07      | 0.15      | 0.38      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.44      | 0.54      | 0.56      | 6.65      | 17.68     | 0.97      | 0.10      | 0.12      | 0.40      | 0.25      | 0.03      | \n",
       "| Mancetter | 2.22      | 0.34      | 0.46      | 7.08      | 16.14     | 0.63      | 0.06      | 0.15      | 0.12      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.59      | 0.37      | 0.46      | 7.57      | 15.71     | 0.56      | 0.07      | 0.16      | 0.07      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.45      | 0.48      | 0.55      | 6.84      | 17.73     | 0.76      | 0.09      | 0.14      | 0.62      | 0.14      | 0.05      | \n",
       "| Mancetter | 2.42      | 0.49      | 0.51      | 7.00      | 16.32     | 0.93      | 0.08      | 0.14      | 0.42      | 0.10      | 0.03      | \n",
       "| Mancetter | 2.27      | 0.38      | 0.48      | 7.88      | 16.28     | 0.52      | 0.07      | 0.14      | 0.26      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.48      | 0.55      | 0.55      | 6.64      | 18.76     | 0.75      | 0.09      | 0.12      | 0.36      | 0.24      | 0.04      | \n",
       "| Leicester | 2.27      | 0.32      | 0.39      | 6.75      | 17.95     | 0.75      | 0.07      | 0.12      | 0.18      | 0.00      | 0.01      | \n",
       "| Leicester | 2.32      | 0.84      | 0.55      | 6.19      | 19.78     | 0.70      | 0.10      | 0.11      | 0.24      | 0.37      | 0.08      | \n",
       "| Mancetter | 2.46      | 0.49      | 0.54      | 6.82      | 18.07     | 0.75      | 0.08      | 0.13      | 0.60      | 0.13      | 0.04      | \n",
       "| Mancetter | 2.67      | 0.34      | 0.49      | 6.94      | 18.04     | 0.54      | 0.06      | 0.11      | 0.44      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.47      | 0.42      | 0.51      | 7.57      | 17.94     | 0.76      | 0.07      | 0.14      | 0.41      | 0.00      | 0.01      | \n",
       "| Mancetter | 2.40      | 0.45      | 0.54      | 7.62      | 17.76     | 0.64      | 0.08      | 0.13      | 0.40      | 0.11      | 0.02      | \n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | \n",
       "| Leicester | 2.31      | 0.88      | 0.57      | 6.42      | 18.90     | 0.76      | 0.10      | 0.12      | 0.28      | 0.30      | 0.03      | \n",
       "| Leicester | 2.50      | 0.78      | 0.56      | 6.46      | 18.57     | 0.73      | 0.11      | 0.12      | 0.26      | 0.27      | 0.03      | \n",
       "| Leicester | 2.57      | 0.80      | 0.56      | 6.43      | 18.41     | 0.75      | 0.12      | 0.12      | 0.26      | 0.26      | 0.03      | \n",
       "| Leicester | 2.24      | 0.84      | 0.56      | 6.26      | 19.49     | 0.73      | 0.09      | 0.12      | 0.23      | 0.32      | 0.03      | \n",
       "| Leicester | 2.37      | 0.44      | 0.50      | 6.78      | 17.15     | 0.70      | 0.08      | 0.15      | 0.45      | 0.06      | 0.02      | \n",
       "| Leicester | 2.48      | 0.77      | 0.55      | 6.36      | 18.30     | 0.73      | 0.11      | 0.12      | 0.26      | 0.26      | 0.03      | \n",
       "| Leicester | 2.26      | 0.58      | 0.61      | 6.16      | 19.47     | 0.74      | 0.10      | 0.11      | 0.21      | 0.43      | 0.03      | \n",
       "| Leicester | 2.59      | 0.48      | 0.60      | 8.76      | 14.50     | 0.51      | 0.07      | 0.13      | 0.27      | 0.00      | 0.01      | \n",
       "| Leicester | 2.25      | 0.66      | 0.52      | 6.20      | 18.06     | 0.64      | 0.09      | 0.11      | 0.24      | 0.31      | 0.04      | \n",
       "| Leicester | 2.43      | 0.48      | 0.56      | 7.60      | 15.57     | 0.62      | 0.08      | 0.16      | 0.49      | 0.00      | 0.01      | \n",
       "| Leicester | 2.49      | 0.93      | 0.55      | 6.18      | 16.54     | 1.10      | 0.12      | 0.13      | 0.25      | 0.28      | 0.03      | \n",
       "| Leicester | 2.46      | 0.76      | 0.55      | 6.37      | 17.95     | 0.72      | 0.11      | 0.12      | 0.26      | 0.27      | 0.03      | \n",
       "| Leicester | 2.47      | 1.05      | 0.56      | 7.62      | 17.02     | 0.70      | 0.11      | 0.14      | 0.26      | 0.23      | 0.03      | \n",
       "| Leicester | 2.16      | 0.74      | 0.53      | 6.09      | 17.25     | 0.65      | 0.09      | 0.11      | 0.25      | 0.32      | 0.03      | \n",
       "| Leicester | 2.26      | 0.58      | 0.52      | 6.41      | 17.28     | 0.67      | 0.09      | 0.13      | 0.28      | 0.25      | 0.03      | \n",
       "| Leicester | 2.29      | 0.78      | 0.56      | 6.24      | 18.45     | 0.70      | 0.10      | 0.11      | 0.26      | 0.32      | 0.03      | \n",
       "| Leicester | 2.30      | 0.78      | 0.53      | 6.28      | 18.20     | 0.65      | 0.10      | 0.11      | 0.25      | 0.31      | 0.03      | \n",
       "| Leicester | 2.52      | 0.65      | 0.55      | 6.16      | 18.69     | 0.74      | 0.11      | 0.10      | 0.29      | 0.33      | 0.06      | \n",
       "| Leicester | 2.28      | 0.68      | 0.55      | 6.37      | 18.60     | 0.68      | 0.10      | 0.11      | 0.24      | 0.32      | 0.03      | \n",
       "| Leicester | 2.25      | 0.62      | 0.56      | 5.55      | 19.47     | 0.74      | 0.13      | 0.11      | 0.31      | 0.42      | 0.05      | \n",
       "| Leicester | 2.32      | 0.80      | 0.54      | 6.34      | 18.25     | 0.66      | 0.10      | 0.11      | 0.25      | 0.32      | 0.03      | \n",
       "| Leicester | 2.35      | 0.74      | 0.55      | 6.54      | 18.44     | 0.71      | 0.10      | 0.11      | 0.26      | 0.29      | 0.03      | \n",
       "| Leicester | 2.45      | 0.42      | 0.61      | 9.79      | 16.22     | 0.62      | 0.08      | 0.13      | 0.14      | 0.00      | 0.01      | \n",
       "| Leicester | 2.19      | 0.84      | 0.54      | 6.13      | 17.99     | 0.69      | 0.10      | 0.11      | 0.24      | 0.33      | 0.04      | \n",
       "| Leicester | 2.62      | 0.82      | 0.54      | 6.25      | 17.79     | 0.73      | 0.11      | 0.09      | 0.29      | 0.32      | 0.04      | \n",
       "| Leicester | 2.35      | 0.65      | 0.54      | 6.73      | 17.91     | 0.72      | 0.10      | 0.12      | 0.28      | 0.25      | 0.06      | \n",
       "| Leicester | 2.44      | 0.35      | 0.51      | 7.70      | 16.27     | 0.62      | 0.07      | 0.13      | 0.16      | 0.00      | 0.01      | \n",
       "| Leicester | 2.42      | 0.68      | 0.53      | 6.15      | 17.19     | 0.77      | 0.13      | 0.11      | 0.27      | 0.26      | 0.03      | \n",
       "| Leicester | 2.52      | 0.79      | 0.56      | 6.37      | 18.11     | 0.74      | 0.12      | 0.11      | 0.26      | 0.27      | 0.03      | \n",
       "| Leicester | 2.37      | 0.75      | 0.55      | 6.33      | 18.55     | 0.69      | 0.10      | 0.11      | 0.25      | 0.32      | 0.03      | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "    Site      Al   Fe   Mg   Ca   Na    K    Ti   P    Mn   Sb   Pb  \n",
       "1   Mancetter 2.51 0.53 0.56 6.98 17.44 0.73 0.09 0.15 0.58 0.12 0.03\n",
       "2   Mancetter 2.36 0.49 0.53 6.71 17.69 0.68 0.09 0.13 0.40 0.23 0.04\n",
       "3   Mancetter 2.30 0.36 0.49 8.10 15.94 0.68 0.07 0.13 0.77 0.00 0.01\n",
       "4   Mancetter 2.42 0.52 0.56 6.93 17.59 0.72 0.09 0.14 0.47 0.18 0.02\n",
       "5   Mancetter 2.32 0.37 0.51 7.51 16.27 0.69 0.07 0.13 0.21 0.00 0.02\n",
       "6   Mancetter 2.34 0.56 0.52 6.10 18.61 0.69 0.10 0.11 0.30 0.32 0.03\n",
       "7   Mancetter 2.50 0.46 0.50 6.83 17.46 0.79 0.08 0.15 0.40 0.06 0.02\n",
       "8   Mancetter 2.47 0.53 0.55 6.55 18.55 0.75 0.09 0.12 0.35 0.23 0.04\n",
       "9   Mancetter 2.41 0.67 0.62 6.18 18.33 0.81 0.12 0.14 0.52 0.31 0.07\n",
       "10  Mancetter 2.64 0.50 0.63 7.76 15.66 0.63 0.08 0.16 0.21 0.00 0.01\n",
       "11  Mancetter 2.77 0.58 0.50 7.33 16.10 0.68 0.08 0.14 0.57 0.00 0.01\n",
       "12  Mancetter 2.43 0.69 0.72 6.27 17.84 0.98 0.12 0.22 0.63 0.13 0.04\n",
       "13  Mancetter 2.50 0.36 0.53 8.51 15.46 0.60 0.07 0.16 0.45 0.00 0.01\n",
       "14  Mancetter 2.63 0.46 0.47 7.25 16.26 0.59 0.07 0.12 0.30 0.00 0.01\n",
       "15  Mancetter 2.66 0.41 0.50 7.35 17.12 0.63 0.07 0.15 0.11 0.00 0.01\n",
       "16  Mancetter 2.43 0.62 0.52 6.89 17.17 0.69 0.08 0.13 0.44 0.18 0.05\n",
       "17  Mancetter 2.55 0.53 0.52 7.91 16.20 0.62 0.07 0.15 0.38 0.00 0.01\n",
       "18  Mancetter 2.44 0.54 0.56 6.65 17.68 0.97 0.10 0.12 0.40 0.25 0.03\n",
       "19  Mancetter 2.22 0.34 0.46 7.08 16.14 0.63 0.06 0.15 0.12 0.00 0.01\n",
       "20  Mancetter 2.59 0.37 0.46 7.57 15.71 0.56 0.07 0.16 0.07 0.00 0.01\n",
       "21  Mancetter 2.45 0.48 0.55 6.84 17.73 0.76 0.09 0.14 0.62 0.14 0.05\n",
       "22  Mancetter 2.42 0.49 0.51 7.00 16.32 0.93 0.08 0.14 0.42 0.10 0.03\n",
       "23  Mancetter 2.27 0.38 0.48 7.88 16.28 0.52 0.07 0.14 0.26 0.00 0.01\n",
       "24  Mancetter 2.48 0.55 0.55 6.64 18.76 0.75 0.09 0.12 0.36 0.24 0.04\n",
       "25  Leicester 2.27 0.32 0.39 6.75 17.95 0.75 0.07 0.12 0.18 0.00 0.01\n",
       "26  Leicester 2.32 0.84 0.55 6.19 19.78 0.70 0.10 0.11 0.24 0.37 0.08\n",
       "27  Mancetter 2.46 0.49 0.54 6.82 18.07 0.75 0.08 0.13 0.60 0.13 0.04\n",
       "28  Mancetter 2.67 0.34 0.49 6.94 18.04 0.54 0.06 0.11 0.44 0.00 0.01\n",
       "29  Mancetter 2.47 0.42 0.51 7.57 17.94 0.76 0.07 0.14 0.41 0.00 0.01\n",
       "30  Mancetter 2.40 0.45 0.54 7.62 17.76 0.64 0.08 0.13 0.40 0.11 0.02\n",
       "⋮   ⋮         ⋮    ⋮    ⋮    ⋮    ⋮     ⋮    ⋮    ⋮    ⋮    ⋮    ⋮   \n",
       "76  Leicester 2.31 0.88 0.57 6.42 18.90 0.76 0.10 0.12 0.28 0.30 0.03\n",
       "77  Leicester 2.50 0.78 0.56 6.46 18.57 0.73 0.11 0.12 0.26 0.27 0.03\n",
       "78  Leicester 2.57 0.80 0.56 6.43 18.41 0.75 0.12 0.12 0.26 0.26 0.03\n",
       "79  Leicester 2.24 0.84 0.56 6.26 19.49 0.73 0.09 0.12 0.23 0.32 0.03\n",
       "80  Leicester 2.37 0.44 0.50 6.78 17.15 0.70 0.08 0.15 0.45 0.06 0.02\n",
       "81  Leicester 2.48 0.77 0.55 6.36 18.30 0.73 0.11 0.12 0.26 0.26 0.03\n",
       "82  Leicester 2.26 0.58 0.61 6.16 19.47 0.74 0.10 0.11 0.21 0.43 0.03\n",
       "83  Leicester 2.59 0.48 0.60 8.76 14.50 0.51 0.07 0.13 0.27 0.00 0.01\n",
       "84  Leicester 2.25 0.66 0.52 6.20 18.06 0.64 0.09 0.11 0.24 0.31 0.04\n",
       "85  Leicester 2.43 0.48 0.56 7.60 15.57 0.62 0.08 0.16 0.49 0.00 0.01\n",
       "86  Leicester 2.49 0.93 0.55 6.18 16.54 1.10 0.12 0.13 0.25 0.28 0.03\n",
       "87  Leicester 2.46 0.76 0.55 6.37 17.95 0.72 0.11 0.12 0.26 0.27 0.03\n",
       "88  Leicester 2.47 1.05 0.56 7.62 17.02 0.70 0.11 0.14 0.26 0.23 0.03\n",
       "89  Leicester 2.16 0.74 0.53 6.09 17.25 0.65 0.09 0.11 0.25 0.32 0.03\n",
       "90  Leicester 2.26 0.58 0.52 6.41 17.28 0.67 0.09 0.13 0.28 0.25 0.03\n",
       "91  Leicester 2.29 0.78 0.56 6.24 18.45 0.70 0.10 0.11 0.26 0.32 0.03\n",
       "92  Leicester 2.30 0.78 0.53 6.28 18.20 0.65 0.10 0.11 0.25 0.31 0.03\n",
       "93  Leicester 2.52 0.65 0.55 6.16 18.69 0.74 0.11 0.10 0.29 0.33 0.06\n",
       "94  Leicester 2.28 0.68 0.55 6.37 18.60 0.68 0.10 0.11 0.24 0.32 0.03\n",
       "95  Leicester 2.25 0.62 0.56 5.55 19.47 0.74 0.13 0.11 0.31 0.42 0.05\n",
       "96  Leicester 2.32 0.80 0.54 6.34 18.25 0.66 0.10 0.11 0.25 0.32 0.03\n",
       "97  Leicester 2.35 0.74 0.55 6.54 18.44 0.71 0.10 0.11 0.26 0.29 0.03\n",
       "98  Leicester 2.45 0.42 0.61 9.79 16.22 0.62 0.08 0.13 0.14 0.00 0.01\n",
       "99  Leicester 2.19 0.84 0.54 6.13 17.99 0.69 0.10 0.11 0.24 0.33 0.04\n",
       "100 Leicester 2.62 0.82 0.54 6.25 17.79 0.73 0.11 0.09 0.29 0.32 0.04\n",
       "101 Leicester 2.35 0.65 0.54 6.73 17.91 0.72 0.10 0.12 0.28 0.25 0.06\n",
       "102 Leicester 2.44 0.35 0.51 7.70 16.27 0.62 0.07 0.13 0.16 0.00 0.01\n",
       "103 Leicester 2.42 0.68 0.53 6.15 17.19 0.77 0.13 0.11 0.27 0.26 0.03\n",
       "104 Leicester 2.52 0.79 0.56 6.37 18.11 0.74 0.12 0.11 0.26 0.27 0.03\n",
       "105 Leicester 2.37 0.75 0.55 6.33 18.55 0.69 0.10 0.11 0.25 0.32 0.03"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data(\"RBGlass1\")\n",
    "RBGlass1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "ename": "ERROR",
     "evalue": "Error in prcomp(RBGlass1[, -1], scale. = TRUE): object 'RBGlass1' not found\n",
     "output_type": "error",
     "traceback": [
      "Error in prcomp(RBGlass1[, -1], scale. = TRUE): object 'RBGlass1' not found\nTraceback:\n",
      "1. prcomp(RBGlass1[, -1], scale. = TRUE)"
     ]
    }
   ],
   "source": [
    "\n",
    "RBGlass1.pca <- prcomp(RBGlass1[, -1], scale.=TRUE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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sy4e/fuwoULFQqFKLURERERlYaTJ4wY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\ngCQodgAAAJKg2AEAAEiCYgcAACCJ/wPctk7twZum2wAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "biplot(RBGlass1.pca, xlabs=abbreviate(RBGlass1$Site, 1), cex=.75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Hearths</th><th scope=col>Depth</th><th scope=col>Size</th><th scope=col>Form</th><th scope=col>Orient</th><th scope=col>Entrance</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Two               </td><td>Deep              </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>One               </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>None              </td><td>Shallow           </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>One Side          </td></tr>\n",
       "\t<tr><td>Two               </td><td>Shallow           </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>Front and One Side</td></tr>\n",
       "\t<tr><td>None              </td><td>Shallow           </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>Front and One Side</td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Shallow           </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>One Side          </td></tr>\n",
       "\t<tr><td>One               </td><td>Deep              </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>One               </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>One               </td><td>Shallow           </td><td>Small             </td><td>Rectangular       </td><td>Gabel Toward Coast</td><td>One Side          </td></tr>\n",
       "\t<tr><td>One               </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Shallow           </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Shallow           </td><td>Large             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Deep              </td><td>Large             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>None              </td><td>Deep              </td><td>Small             </td><td>Oval              </td><td>Parallel Coast    </td><td>One Side          </td></tr>\n",
       "\t<tr><td>One               </td><td>Deep              </td><td>Medium            </td><td>Oval              </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>One Side          </td></tr>\n",
       "\t<tr><td>Two               </td><td>Deep              </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>One               </td><td>Shallow           </td><td>Medium            </td><td>Oval              </td><td>Parallel Coast    </td><td>One Side          </td></tr>\n",
       "\t<tr><td>None              </td><td>Shallow           </td><td>Large             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Shallow           </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Deep              </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Shallow           </td><td>Medium            </td><td>Oval              </td><td>Gabel Toward Coast</td><td>None              </td></tr>\n",
       "\t<tr><td>None              </td><td>Deep              </td><td>Medium            </td><td>Oval              </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Shallow           </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Shallow           </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>None              </td><td>Shallow           </td><td>Medium            </td><td>Rectangular       </td><td>Gabel Toward Coast</td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Shallow           </td><td>Medium            </td><td>Oval              </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Deep              </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Deep              </td><td>Medium            </td><td>Oval              </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>One Side          </td></tr>\n",
       "\t<tr><td>None              </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Gabel Toward Coast</td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Shallow           </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>One               </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Shallow           </td><td>Medium            </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Two               </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>One               </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Gabel Toward Coast</td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Shallow           </td><td>Small             </td><td>Rectangular       </td><td>Parallel Coast    </td><td>None              </td></tr>\n",
       "\t<tr><td>Charcoal Conc     </td><td>Deep              </td><td>Small             </td><td>Rectangular       </td><td>Gabel Toward Coast</td><td>None              </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllll}\n",
       " Hearths & Depth & Size & Form & Orient & Entrance\\\\\n",
       "\\hline\n",
       "\t Two                & Deep               & Medium             & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t One                & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Two                & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t None               & Shallow            & Small              & Rectangular        & Parallel Coast     & One Side          \\\\\n",
       "\t Two                & Shallow            & Medium             & Rectangular        & Parallel Coast     & Front and One Side\\\\\n",
       "\t None               & Shallow            & Medium             & Rectangular        & Parallel Coast     & Front and One Side\\\\\n",
       "\t Charcoal Conc      & Shallow            & Medium             & Rectangular        & Parallel Coast     & One Side          \\\\\n",
       "\t One                & Deep               & Medium             & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t One                & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t One                & Shallow            & Small              & Rectangular        & Gabel Toward Coast & One Side          \\\\\n",
       "\t One                & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Charcoal Conc      & Shallow            & Medium             & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Charcoal Conc      & Shallow            & Large              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Two                & Deep               & Large              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t None               & Deep               & Small              & Oval               & Parallel Coast     & One Side          \\\\\n",
       "\t One                & Deep               & Medium             & Oval               & Parallel Coast     & None              \\\\\n",
       "\t Charcoal Conc      & Deep               & Small              & Rectangular        & Parallel Coast     & One Side          \\\\\n",
       "\t Two                & Deep               & Medium             & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t One                & Shallow            & Medium             & Oval               & Parallel Coast     & One Side          \\\\\n",
       "\t None               & Shallow            & Large              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Two                & Shallow            & Medium             & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Two                & Deep               & Medium             & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Charcoal Conc      & Shallow            & Medium             & Oval               & Gabel Toward Coast & None              \\\\\n",
       "\t None               & Deep               & Medium             & Oval               & Parallel Coast     & None              \\\\\n",
       "\t Two                & Shallow            & Medium             & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Two                & Shallow            & Medium             & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t None               & Shallow            & Medium             & Rectangular        & Gabel Toward Coast & None              \\\\\n",
       "\t Charcoal Conc      & Shallow            & Medium             & Oval               & Parallel Coast     & None              \\\\\n",
       "\t Two                & Deep               & Medium             & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Two                & Deep               & Medium             & Oval               & Parallel Coast     & None              \\\\\n",
       "\t Two                & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Two                & Deep               & Small              & Rectangular        & Parallel Coast     & One Side          \\\\\n",
       "\t None               & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Charcoal Conc      & Deep               & Small              & Rectangular        & Gabel Toward Coast & None              \\\\\n",
       "\t Charcoal Conc      & Shallow            & Medium             & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t One                & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Two                & Shallow            & Medium             & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Charcoal Conc      & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Charcoal Conc      & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Two                & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t One                & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Charcoal Conc      & Deep               & Small              & Rectangular        & Gabel Toward Coast & None              \\\\\n",
       "\t Charcoal Conc      & Deep               & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Charcoal Conc      & Shallow            & Small              & Rectangular        & Parallel Coast     & None              \\\\\n",
       "\t Charcoal Conc      & Deep               & Small              & Rectangular        & Gabel Toward Coast & None              \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Hearths | Depth | Size | Form | Orient | Entrance | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| Two                | Deep               | Medium             | Rectangular        | Parallel Coast     | None               | \n",
       "| One                | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| Two                | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| None               | Shallow            | Small              | Rectangular        | Parallel Coast     | One Side           | \n",
       "| Two                | Shallow            | Medium             | Rectangular        | Parallel Coast     | Front and One Side | \n",
       "| None               | Shallow            | Medium             | Rectangular        | Parallel Coast     | Front and One Side | \n",
       "| Charcoal Conc      | Shallow            | Medium             | Rectangular        | Parallel Coast     | One Side           | \n",
       "| One                | Deep               | Medium             | Rectangular        | Parallel Coast     | None               | \n",
       "| One                | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| One                | Shallow            | Small              | Rectangular        | Gabel Toward Coast | One Side           | \n",
       "| One                | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| Charcoal Conc      | Shallow            | Medium             | Rectangular        | Parallel Coast     | None               | \n",
       "| Charcoal Conc      | Shallow            | Large              | Rectangular        | Parallel Coast     | None               | \n",
       "| Two                | Deep               | Large              | Rectangular        | Parallel Coast     | None               | \n",
       "| None               | Deep               | Small              | Oval               | Parallel Coast     | One Side           | \n",
       "| One                | Deep               | Medium             | Oval               | Parallel Coast     | None               | \n",
       "| Charcoal Conc      | Deep               | Small              | Rectangular        | Parallel Coast     | One Side           | \n",
       "| Two                | Deep               | Medium             | Rectangular        | Parallel Coast     | None               | \n",
       "| One                | Shallow            | Medium             | Oval               | Parallel Coast     | One Side           | \n",
       "| None               | Shallow            | Large              | Rectangular        | Parallel Coast     | None               | \n",
       "| Two                | Shallow            | Medium             | Rectangular        | Parallel Coast     | None               | \n",
       "| Two                | Deep               | Medium             | Rectangular        | Parallel Coast     | None               | \n",
       "| Charcoal Conc      | Shallow            | Medium             | Oval               | Gabel Toward Coast | None               | \n",
       "| None               | Deep               | Medium             | Oval               | Parallel Coast     | None               | \n",
       "| Two                | Shallow            | Medium             | Rectangular        | Parallel Coast     | None               | \n",
       "| Two                | Shallow            | Medium             | Rectangular        | Parallel Coast     | None               | \n",
       "| None               | Shallow            | Medium             | Rectangular        | Gabel Toward Coast | None               | \n",
       "| Charcoal Conc      | Shallow            | Medium             | Oval               | Parallel Coast     | None               | \n",
       "| Two                | Deep               | Medium             | Rectangular        | Parallel Coast     | None               | \n",
       "| Two                | Deep               | Medium             | Oval               | Parallel Coast     | None               | \n",
       "| Two                | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| Two                | Deep               | Small              | Rectangular        | Parallel Coast     | One Side           | \n",
       "| None               | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| Charcoal Conc      | Deep               | Small              | Rectangular        | Gabel Toward Coast | None               | \n",
       "| Charcoal Conc      | Shallow            | Medium             | Rectangular        | Parallel Coast     | None               | \n",
       "| One                | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| Two                | Shallow            | Medium             | Rectangular        | Parallel Coast     | None               | \n",
       "| Charcoal Conc      | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| Charcoal Conc      | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| Two                | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| One                | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| Charcoal Conc      | Deep               | Small              | Rectangular        | Gabel Toward Coast | None               | \n",
       "| Charcoal Conc      | Deep               | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| Charcoal Conc      | Shallow            | Small              | Rectangular        | Parallel Coast     | None               | \n",
       "| Charcoal Conc      | Deep               | Small              | Rectangular        | Gabel Toward Coast | None               | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   Hearths       Depth   Size   Form        Orient            \n",
       "1  Two           Deep    Medium Rectangular Parallel Coast    \n",
       "2  One           Deep    Small  Rectangular Parallel Coast    \n",
       "3  Two           Deep    Small  Rectangular Parallel Coast    \n",
       "4  None          Shallow Small  Rectangular Parallel Coast    \n",
       "5  Two           Shallow Medium Rectangular Parallel Coast    \n",
       "6  None          Shallow Medium Rectangular Parallel Coast    \n",
       "7  Charcoal Conc Shallow Medium Rectangular Parallel Coast    \n",
       "8  One           Deep    Medium Rectangular Parallel Coast    \n",
       "9  One           Deep    Small  Rectangular Parallel Coast    \n",
       "10 One           Shallow Small  Rectangular Gabel Toward Coast\n",
       "11 One           Deep    Small  Rectangular Parallel Coast    \n",
       "12 Charcoal Conc Shallow Medium Rectangular Parallel Coast    \n",
       "13 Charcoal Conc Shallow Large  Rectangular Parallel Coast    \n",
       "14 Two           Deep    Large  Rectangular Parallel Coast    \n",
       "15 None          Deep    Small  Oval        Parallel Coast    \n",
       "16 One           Deep    Medium Oval        Parallel Coast    \n",
       "17 Charcoal Conc Deep    Small  Rectangular Parallel Coast    \n",
       "18 Two           Deep    Medium Rectangular Parallel Coast    \n",
       "19 One           Shallow Medium Oval        Parallel Coast    \n",
       "20 None          Shallow Large  Rectangular Parallel Coast    \n",
       "21 Two           Shallow Medium Rectangular Parallel Coast    \n",
       "22 Two           Deep    Medium Rectangular Parallel Coast    \n",
       "23 Charcoal Conc Shallow Medium Oval        Gabel Toward Coast\n",
       "24 None          Deep    Medium Oval        Parallel Coast    \n",
       "25 Two           Shallow Medium Rectangular Parallel Coast    \n",
       "26 Two           Shallow Medium Rectangular Parallel Coast    \n",
       "27 None          Shallow Medium Rectangular Gabel Toward Coast\n",
       "28 Charcoal Conc Shallow Medium Oval        Parallel Coast    \n",
       "29 Two           Deep    Medium Rectangular Parallel Coast    \n",
       "30 Two           Deep    Medium Oval        Parallel Coast    \n",
       "31 Two           Deep    Small  Rectangular Parallel Coast    \n",
       "32 Two           Deep    Small  Rectangular Parallel Coast    \n",
       "33 None          Deep    Small  Rectangular Parallel Coast    \n",
       "34 Charcoal Conc Deep    Small  Rectangular Gabel Toward Coast\n",
       "35 Charcoal Conc Shallow Medium Rectangular Parallel Coast    \n",
       "36 One           Deep    Small  Rectangular Parallel Coast    \n",
       "37 Two           Shallow Medium Rectangular Parallel Coast    \n",
       "38 Charcoal Conc Deep    Small  Rectangular Parallel Coast    \n",
       "39 Charcoal Conc Deep    Small  Rectangular Parallel Coast    \n",
       "40 Two           Deep    Small  Rectangular Parallel Coast    \n",
       "41 One           Deep    Small  Rectangular Parallel Coast    \n",
       "42 Charcoal Conc Deep    Small  Rectangular Gabel Toward Coast\n",
       "43 Charcoal Conc Deep    Small  Rectangular Parallel Coast    \n",
       "44 Charcoal Conc Shallow Small  Rectangular Parallel Coast    \n",
       "45 Charcoal Conc Deep    Small  Rectangular Gabel Toward Coast\n",
       "   Entrance          \n",
       "1  None              \n",
       "2  None              \n",
       "3  None              \n",
       "4  One Side          \n",
       "5  Front and One Side\n",
       "6  Front and One Side\n",
       "7  One Side          \n",
       "8  None              \n",
       "9  None              \n",
       "10 One Side          \n",
       "11 None              \n",
       "12 None              \n",
       "13 None              \n",
       "14 None              \n",
       "15 One Side          \n",
       "16 None              \n",
       "17 One Side          \n",
       "18 None              \n",
       "19 One Side          \n",
       "20 None              \n",
       "21 None              \n",
       "22 None              \n",
       "23 None              \n",
       "24 None              \n",
       "25 None              \n",
       "26 None              \n",
       "27 None              \n",
       "28 None              \n",
       "29 None              \n",
       "30 None              \n",
       "31 None              \n",
       "32 One Side          \n",
       "33 None              \n",
       "34 None              \n",
       "35 None              \n",
       "36 None              \n",
       "37 None              \n",
       "38 None              \n",
       "39 None              \n",
       "40 None              \n",
       "41 None              \n",
       "42 None              \n",
       "43 None              \n",
       "44 None              \n",
       "45 None              "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "PitHouses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "               Size\n",
       "Hearths         Small Medium Large\n",
       "  None              3      3     1\n",
       "  One               6      3     0\n",
       "  Two               4     10     1\n",
       "  Charcoal Conc     8      5     1"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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D0gaSCR94CkgUTeA5IGEnkPSBpI5D0gaSCR94CkgUTeA5IGEnkPSBpI5D0gaSCR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\nEpFAQCISCEhEAgGJSCAgEQkEJCKB/g+68n0DxC0pOwAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “Arctic Norway Pithouses”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data(PitHouses)\n",
    "# Crosstabulation of Hearths with Size\n",
    "PitHouses.tbl <- xtabs(~Hearths+Size, PitHouses)\n",
    "PitHouses.tbl\n",
    "barplot(PitHouses.tbl, ylab=\"Frequency\", main=\"Arctic Norway Pithouses\", beside=TRUE,legend.text=TRUE, args.legend=list(title=\"Hearths\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Grave</th><th scope=col>Mno</th><th scope=col>FL</th><th scope=col>BH</th><th scope=col>BFA</th><th scope=col>FA</th><th scope=col>CD</th><th scope=col>BRA</th><th scope=col>ED</th><th scope=col>FEL</th><th scope=col>C</th><th scope=col>BW</th><th scope=col>BT</th><th scope=col>FEW</th><th scope=col>Coils</th><th scope=col>Length</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>149      </td><td>389      </td><td>93       </td><td>24       </td><td>7        </td><td>10       </td><td>16       </td><td>1        </td><td>13       </td><td>31       </td><td>47       </td><td> 3.5     </td><td>3.5      </td><td> NA      </td><td> 4       </td><td>114      </td></tr>\n",
       "\t<tr><td>190      </td><td>615      </td><td>21       </td><td> 7       </td><td>6        </td><td> 9       </td><td> 6       </td><td>5        </td><td> 2       </td><td>11       </td><td>10       </td><td> 3.5     </td><td>1.7      </td><td> NA      </td><td>12       </td><td> 35      </td></tr>\n",
       "\t<tr><td>161      </td><td>125      </td><td>33       </td><td>15       </td><td>2        </td><td> 8       </td><td> 7       </td><td>3        </td><td> 8       </td><td>10       </td><td>20       </td><td> 3.9     </td><td>3.2      </td><td> NA      </td><td> 4       </td><td> 60      </td></tr>\n",
       "\t<tr><td>31       </td><td>812      </td><td>23       </td><td>26       </td><td>4        </td><td> 7       </td><td> 9       </td><td>5        </td><td>12       </td><td> 1       </td><td>16       </td><td> 6.2     </td><td>7.7      </td><td>2.8      </td><td> 4       </td><td> 74      </td></tr>\n",
       "\t<tr><td>49       </td><td>798      </td><td>20       </td><td>23       </td><td>2        </td><td> 8       </td><td> 7       </td><td>1        </td><td> 8       </td><td> 5       </td><td>16       </td><td> 7.7     </td><td>5.2      </td><td>2.6      </td><td> 6       </td><td> 68      </td></tr>\n",
       "\t<tr><td>6        </td><td>673      </td><td>27       </td><td>15       </td><td>6        </td><td> 8       </td><td> 7       </td><td>5        </td><td> 3       </td><td>11       </td><td>11       </td><td> 3.7     </td><td>3.5      </td><td>1.8      </td><td> 4       </td><td> 55      </td></tr>\n",
       "\t<tr><td>Thames   </td><td>Thames   </td><td>10       </td><td>16       </td><td>1        </td><td>10       </td><td> 9       </td><td>1        </td><td> 7       </td><td> 0       </td><td>11       </td><td> 6.1     </td><td>4.1      </td><td>0.0      </td><td> 4       </td><td> 45      </td></tr>\n",
       "\t<tr><td>23       </td><td>643      </td><td>15       </td><td>18       </td><td>1        </td><td>10       </td><td>10       </td><td>1        </td><td> 5       </td><td> 0       </td><td>15       </td><td> 3.5     </td><td>3.5      </td><td>0.0      </td><td> 4       </td><td> 40      </td></tr>\n",
       "\t<tr><td>149      </td><td>391      </td><td>31       </td><td>13       </td><td>4        </td><td> 9       </td><td> 7       </td><td>4        </td><td> 5       </td><td>11       </td><td>18       </td><td>17.6     </td><td>1.4      </td><td>3.6      </td><td> 6       </td><td> 54      </td></tr>\n",
       "\t<tr><td>149      </td><td>398      </td><td>19       </td><td>17       </td><td>1        </td><td> 7       </td><td> 6       </td><td>2        </td><td> 6       </td><td>10       </td><td>12       </td><td> 9.2     </td><td>6.6      </td><td>3.9      </td><td> 6       </td><td> 39      </td></tr>\n",
       "\t<tr><td>101      </td><td>491      </td><td>41       </td><td>23       </td><td>3        </td><td> 8       </td><td>11       </td><td>3        </td><td>14       </td><td>15       </td><td>24       </td><td> 7.3     </td><td>5.8      </td><td>8.6      </td><td> 6       </td><td> 71      </td></tr>\n",
       "\t<tr><td>171      </td><td>149      </td><td>47       </td><td>17       </td><td>5        </td><td> 9       </td><td>10       </td><td>4        </td><td> 8       </td><td>14       </td><td>26       </td><td> 5.8     </td><td>4.7      </td><td>6.0      </td><td> 6       </td><td> 78      </td></tr>\n",
       "\t<tr><td>130      </td><td>545      </td><td>29       </td><td>15       </td><td>3        </td><td> 8       </td><td> 6       </td><td>3        </td><td> 6       </td><td>10       </td><td>17       </td><td>11.7     </td><td>3.9      </td><td>6.4      </td><td> 6       </td><td> 47      </td></tr>\n",
       "\t<tr><td>157      </td><td>85       </td><td>23       </td><td>13       </td><td>3        </td><td> 8       </td><td> 6       </td><td>2        </td><td>10       </td><td> 7       </td><td>15       </td><td> 5.2     </td><td>2.7      </td><td>5.4      </td><td>12       </td><td> 41      </td></tr>\n",
       "\t<tr><td>97       </td><td>478      </td><td>20       </td><td>15       </td><td>1        </td><td> 7       </td><td> 5       </td><td>1        </td><td>12       </td><td> 4       </td><td>12       </td><td> 4.7     </td><td>4.8      </td><td>3.5      </td><td> 6       </td><td> 38      </td></tr>\n",
       "\t<tr><td>85       </td><td>436      </td><td>17       </td><td>16       </td><td>1        </td><td> 7       </td><td> 7       </td><td>1        </td><td> 8       </td><td> 3       </td><td>11       </td><td> 5.1     </td><td>3.5      </td><td>2.2      </td><td> 6       </td><td> 44      </td></tr>\n",
       "\t<tr><td>91       </td><td>464      </td><td>20       </td><td>15       </td><td>2        </td><td> 7       </td><td> 7       </td><td>3        </td><td> 6       </td><td>10       </td><td>12       </td><td> 5.5     </td><td>3.8      </td><td>3.9      </td><td> 6       </td><td> 50      </td></tr>\n",
       "\t<tr><td>61       </td><td>821      </td><td>20       </td><td>13       </td><td>5        </td><td> 8       </td><td> 5       </td><td>2        </td><td>10       </td><td> 5       </td><td>10       </td><td> 4.4     </td><td>4.4      </td><td>5.1      </td><td> 6       </td><td> 36      </td></tr>\n",
       "\t<tr><td>94       </td><td>474      </td><td>21       </td><td>18       </td><td>2        </td><td> 9       </td><td> 9       </td><td>1        </td><td> 5       </td><td> 6       </td><td>15       </td><td> 8.1     </td><td>2.3      </td><td>1.9      </td><td> 4       </td><td> 49      </td></tr>\n",
       "\t<tr><td>121      </td><td>348      </td><td>28       </td><td>17       </td><td>1        </td><td>10       </td><td>10       </td><td>2        </td><td> 8       </td><td> 6       </td><td>20       </td><td> 2.5     </td><td>2.6      </td><td>2.2      </td><td> 4       </td><td> 53      </td></tr>\n",
       "\t<tr><td>181      </td><td>212      </td><td>94       </td><td>15       </td><td>7        </td><td>10       </td><td>12       </td><td>5        </td><td>11       </td><td>31       </td><td>50       </td><td> 4.3     </td><td>4.3      </td><td> NA      </td><td> 6       </td><td>128      </td></tr>\n",
       "\t<tr><td>68       </td><td>587      </td><td>22       </td><td>18       </td><td>1        </td><td> 8       </td><td> 7       </td><td>1        </td><td> 5       </td><td> 8       </td><td>17       </td><td> 8.8     </td><td>3.0      </td><td>2.4      </td><td> 6       </td><td> 59      </td></tr>\n",
       "\t<tr><td>61       </td><td>830      </td><td>20       </td><td>14       </td><td>1        </td><td> 8       </td><td> 6       </td><td>1        </td><td> 3       </td><td> 4       </td><td>14       </td><td>14.3     </td><td>1.4      </td><td>1.7      </td><td> 6       </td><td> 44      </td></tr>\n",
       "\t<tr><td>130      </td><td>549      </td><td>22       </td><td>15       </td><td>3        </td><td> 8       </td><td> 7       </td><td>3        </td><td>13       </td><td> 1       </td><td>17       </td><td> 5.0     </td><td>4.6      </td><td>2.5      </td><td>10       </td><td> 47      </td></tr>\n",
       "\t<tr><td>80       </td><td>529      </td><td>12       </td><td>22       </td><td>1        </td><td> 6       </td><td> 9       </td><td>1        </td><td> 9       </td><td> 0       </td><td>11       </td><td> 6.8     </td><td>6.4      </td><td>0.0      </td><td> 4       </td><td> 45      </td></tr>\n",
       "\t<tr><td>149      </td><td>399      </td><td>27       </td><td>15       </td><td>1        </td><td> 8       </td><td>10       </td><td>2        </td><td> 9       </td><td>11       </td><td>19       </td><td> 8.2     </td><td>4.0      </td><td>7.6      </td><td> 4       </td><td> 53      </td></tr>\n",
       "\t<tr><td>48       </td><td>788      </td><td>15       </td><td>19       </td><td>2        </td><td> 8       </td><td> 7       </td><td>3        </td><td> 3       </td><td> 4       </td><td>12       </td><td> 3.7     </td><td>3.5      </td><td>1.9      </td><td> 4       </td><td> 56      </td></tr>\n",
       "\t<tr><td>44       </td><td>752      </td><td>10       </td><td>10       </td><td>2        </td><td>10       </td><td> 6       </td><td>2        </td><td> 2       </td><td>NA       </td><td> 9       </td><td> 2.0     </td><td>2.3      </td><td>2.2      </td><td> 3       </td><td> 26      </td></tr>\n",
       "\t<tr><td>Hallstatt</td><td>Hallstatt</td><td> 9       </td><td>13       </td><td>3        </td><td>10       </td><td> 4       </td><td>4        </td><td> 9       </td><td> 0       </td><td> 8       </td><td> 9.6     </td><td>5.0      </td><td>0.0      </td><td>22       </td><td> 28      </td></tr>\n",
       "\t<tr><td>193      </td><td>611      </td><td>68       </td><td>18       </td><td>7        </td><td> 9       </td><td> 9       </td><td>7        </td><td> 3       </td><td>50       </td><td>18       </td><td> 9.3     </td><td>6.5      </td><td> NA      </td><td> 4       </td><td>110      </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllllllllllll}\n",
       " Grave & Mno & FL & BH & BFA & FA & CD & BRA & ED & FEL & C & BW & BT & FEW & Coils & Length\\\\\n",
       "\\hline\n",
       "\t 149       & 389       & 93        & 24        & 7         & 10        & 16        & 1         & 13        & 31        & 47        &  3.5      & 3.5       &  NA       &  4        & 114      \\\\\n",
       "\t 190       & 615       & 21        &  7        & 6         &  9        &  6        & 5         &  2        & 11        & 10        &  3.5      & 1.7       &  NA       & 12        &  35      \\\\\n",
       "\t 161       & 125       & 33        & 15        & 2         &  8        &  7        & 3         &  8        & 10        & 20        &  3.9      & 3.2       &  NA       &  4        &  60      \\\\\n",
       "\t 31        & 812       & 23        & 26        & 4         &  7        &  9        & 5         & 12        &  1        & 16        &  6.2      & 7.7       & 2.8       &  4        &  74      \\\\\n",
       "\t 49        & 798       & 20        & 23        & 2         &  8        &  7        & 1         &  8        &  5        & 16        &  7.7      & 5.2       & 2.6       &  6        &  68      \\\\\n",
       "\t 6         & 673       & 27        & 15        & 6         &  8        &  7        & 5         &  3        & 11        & 11        &  3.7      & 3.5       & 1.8       &  4        &  55      \\\\\n",
       "\t Thames    & Thames    & 10        & 16        & 1         & 10        &  9        & 1         &  7        &  0        & 11        &  6.1      & 4.1       & 0.0       &  4        &  45      \\\\\n",
       "\t 23        & 643       & 15        & 18        & 1         & 10        & 10        & 1         &  5        &  0        & 15        &  3.5      & 3.5       & 0.0       &  4        &  40      \\\\\n",
       "\t 149       & 391       & 31        & 13        & 4         &  9        &  7        & 4         &  5        & 11        & 18        & 17.6      & 1.4       & 3.6       &  6        &  54      \\\\\n",
       "\t 149       & 398       & 19        & 17        & 1         &  7        &  6        & 2         &  6        & 10        & 12        &  9.2      & 6.6       & 3.9       &  6        &  39      \\\\\n",
       "\t 101       & 491       & 41        & 23        & 3         &  8        & 11        & 3         & 14        & 15        & 24        &  7.3      & 5.8       & 8.6       &  6        &  71      \\\\\n",
       "\t 171       & 149       & 47        & 17        & 5         &  9        & 10        & 4         &  8        & 14        & 26        &  5.8      & 4.7       & 6.0       &  6        &  78      \\\\\n",
       "\t 130       & 545       & 29        & 15        & 3         &  8        &  6        & 3         &  6        & 10        & 17        & 11.7      & 3.9       & 6.4       &  6        &  47      \\\\\n",
       "\t 157       & 85        & 23        & 13        & 3         &  8        &  6        & 2         & 10        &  7        & 15        &  5.2      & 2.7       & 5.4       & 12        &  41      \\\\\n",
       "\t 97        & 478       & 20        & 15        & 1         &  7        &  5        & 1         & 12        &  4        & 12        &  4.7      & 4.8       & 3.5       &  6        &  38      \\\\\n",
       "\t 85        & 436       & 17        & 16        & 1         &  7        &  7        & 1         &  8        &  3        & 11        &  5.1      & 3.5       & 2.2       &  6        &  44      \\\\\n",
       "\t 91        & 464       & 20        & 15        & 2         &  7        &  7        & 3         &  6        & 10        & 12        &  5.5      & 3.8       & 3.9       &  6        &  50      \\\\\n",
       "\t 61        & 821       & 20        & 13        & 5         &  8        &  5        & 2         & 10        &  5        & 10        &  4.4      & 4.4       & 5.1       &  6        &  36      \\\\\n",
       "\t 94        & 474       & 21        & 18        & 2         &  9        &  9        & 1         &  5        &  6        & 15        &  8.1      & 2.3       & 1.9       &  4        &  49      \\\\\n",
       "\t 121       & 348       & 28        & 17        & 1         & 10        & 10        & 2         &  8        &  6        & 20        &  2.5      & 2.6       & 2.2       &  4        &  53      \\\\\n",
       "\t 181       & 212       & 94        & 15        & 7         & 10        & 12        & 5         & 11        & 31        & 50        &  4.3      & 4.3       &  NA       &  6        & 128      \\\\\n",
       "\t 68        & 587       & 22        & 18        & 1         &  8        &  7        & 1         &  5        &  8        & 17        &  8.8      & 3.0       & 2.4       &  6        &  59      \\\\\n",
       "\t 61        & 830       & 20        & 14        & 1         &  8        &  6        & 1         &  3        &  4        & 14        & 14.3      & 1.4       & 1.7       &  6        &  44      \\\\\n",
       "\t 130       & 549       & 22        & 15        & 3         &  8        &  7        & 3         & 13        &  1        & 17        &  5.0      & 4.6       & 2.5       & 10        &  47      \\\\\n",
       "\t 80        & 529       & 12        & 22        & 1         &  6        &  9        & 1         &  9        &  0        & 11        &  6.8      & 6.4       & 0.0       &  4        &  45      \\\\\n",
       "\t 149       & 399       & 27        & 15        & 1         &  8        & 10        & 2         &  9        & 11        & 19        &  8.2      & 4.0       & 7.6       &  4        &  53      \\\\\n",
       "\t 48        & 788       & 15        & 19        & 2         &  8        &  7        & 3         &  3        &  4        & 12        &  3.7      & 3.5       & 1.9       &  4        &  56      \\\\\n",
       "\t 44        & 752       & 10        & 10        & 2         & 10        &  6        & 2         &  2        & NA        &  9        &  2.0      & 2.3       & 2.2       &  3        &  26      \\\\\n",
       "\t Hallstatt & Hallstatt &  9        & 13        & 3         & 10        &  4        & 4         &  9        &  0        &  8        &  9.6      & 5.0       & 0.0       & 22        &  28      \\\\\n",
       "\t 193       & 611       & 68        & 18        & 7         &  9        &  9        & 7         &  3        & 50        & 18        &  9.3      & 6.5       &  NA       &  4        & 110      \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Grave | Mno | FL | BH | BFA | FA | CD | BRA | ED | FEL | C | BW | BT | FEW | Coils | Length | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 149       | 389       | 93        | 24        | 7         | 10        | 16        | 1         | 13        | 31        | 47        |  3.5      | 3.5       |  NA       |  4        | 114       | \n",
       "| 190       | 615       | 21        |  7        | 6         |  9        |  6        | 5         |  2        | 11        | 10        |  3.5      | 1.7       |  NA       | 12        |  35       | \n",
       "| 161       | 125       | 33        | 15        | 2         |  8        |  7        | 3         |  8        | 10        | 20        |  3.9      | 3.2       |  NA       |  4        |  60       | \n",
       "| 31        | 812       | 23        | 26        | 4         |  7        |  9        | 5         | 12        |  1        | 16        |  6.2      | 7.7       | 2.8       |  4        |  74       | \n",
       "| 49        | 798       | 20        | 23        | 2         |  8        |  7        | 1         |  8        |  5        | 16        |  7.7      | 5.2       | 2.6       |  6        |  68       | \n",
       "| 6         | 673       | 27        | 15        | 6         |  8        |  7        | 5         |  3        | 11        | 11        |  3.7      | 3.5       | 1.8       |  4        |  55       | \n",
       "| Thames    | Thames    | 10        | 16        | 1         | 10        |  9        | 1         |  7        |  0        | 11        |  6.1      | 4.1       | 0.0       |  4        |  45       | \n",
       "| 23        | 643       | 15        | 18        | 1         | 10        | 10        | 1         |  5        |  0        | 15        |  3.5      | 3.5       | 0.0       |  4        |  40       | \n",
       "| 149       | 391       | 31        | 13        | 4         |  9        |  7        | 4         |  5        | 11        | 18        | 17.6      | 1.4       | 3.6       |  6        |  54       | \n",
       "| 149       | 398       | 19        | 17        | 1         |  7        |  6        | 2         |  6        | 10        | 12        |  9.2      | 6.6       | 3.9       |  6        |  39       | \n",
       "| 101       | 491       | 41        | 23        | 3         |  8        | 11        | 3         | 14        | 15        | 24        |  7.3      | 5.8       | 8.6       |  6        |  71       | \n",
       "| 171       | 149       | 47        | 17        | 5         |  9        | 10        | 4         |  8        | 14        | 26        |  5.8      | 4.7       | 6.0       |  6        |  78       | \n",
       "| 130       | 545       | 29        | 15        | 3         |  8        |  6        | 3         |  6        | 10        | 17        | 11.7      | 3.9       | 6.4       |  6        |  47       | \n",
       "| 157       | 85        | 23        | 13        | 3         |  8        |  6        | 2         | 10        |  7        | 15        |  5.2      | 2.7       | 5.4       | 12        |  41       | \n",
       "| 97        | 478       | 20        | 15        | 1         |  7        |  5        | 1         | 12        |  4        | 12        |  4.7      | 4.8       | 3.5       |  6        |  38       | \n",
       "| 85        | 436       | 17        | 16        | 1         |  7        |  7        | 1         |  8        |  3        | 11        |  5.1      | 3.5       | 2.2       |  6        |  44       | \n",
       "| 91        | 464       | 20        | 15        | 2         |  7        |  7        | 3         |  6        | 10        | 12        |  5.5      | 3.8       | 3.9       |  6        |  50       | \n",
       "| 61        | 821       | 20        | 13        | 5         |  8        |  5        | 2         | 10        |  5        | 10        |  4.4      | 4.4       | 5.1       |  6        |  36       | \n",
       "| 94        | 474       | 21        | 18        | 2         |  9        |  9        | 1         |  5        |  6        | 15        |  8.1      | 2.3       | 1.9       |  4        |  49       | \n",
       "| 121       | 348       | 28        | 17        | 1         | 10        | 10        | 2         |  8        |  6        | 20        |  2.5      | 2.6       | 2.2       |  4        |  53       | \n",
       "| 181       | 212       | 94        | 15        | 7         | 10        | 12        | 5         | 11        | 31        | 50        |  4.3      | 4.3       |  NA       |  6        | 128       | \n",
       "| 68        | 587       | 22        | 18        | 1         |  8        |  7        | 1         |  5        |  8        | 17        |  8.8      | 3.0       | 2.4       |  6        |  59       | \n",
       "| 61        | 830       | 20        | 14        | 1         |  8        |  6        | 1         |  3        |  4        | 14        | 14.3      | 1.4       | 1.7       |  6        |  44       | \n",
       "| 130       | 549       | 22        | 15        | 3         |  8        |  7        | 3         | 13        |  1        | 17        |  5.0      | 4.6       | 2.5       | 10        |  47       | \n",
       "| 80        | 529       | 12        | 22        | 1         |  6        |  9        | 1         |  9        |  0        | 11        |  6.8      | 6.4       | 0.0       |  4        |  45       | \n",
       "| 149       | 399       | 27        | 15        | 1         |  8        | 10        | 2         |  9        | 11        | 19        |  8.2      | 4.0       | 7.6       |  4        |  53       | \n",
       "| 48        | 788       | 15        | 19        | 2         |  8        |  7        | 3         |  3        |  4        | 12        |  3.7      | 3.5       | 1.9       |  4        |  56       | \n",
       "| 44        | 752       | 10        | 10        | 2         | 10        |  6        | 2         |  2        | NA        |  9        |  2.0      | 2.3       | 2.2       |  3        |  26       | \n",
       "| Hallstatt | Hallstatt |  9        | 13        | 3         | 10        |  4        | 4         |  9        |  0        |  8        |  9.6      | 5.0       | 0.0       | 22        |  28       | \n",
       "| 193       | 611       | 68        | 18        | 7         |  9        |  9        | 7         |  3        | 50        | 18        |  9.3      | 6.5       |  NA       |  4        | 110       | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   Grave     Mno       FL BH BFA FA CD BRA ED FEL C  BW   BT  FEW Coils Length\n",
       "1  149       389       93 24 7   10 16 1   13 31  47  3.5 3.5  NA  4    114   \n",
       "2  190       615       21  7 6    9  6 5    2 11  10  3.5 1.7  NA 12     35   \n",
       "3  161       125       33 15 2    8  7 3    8 10  20  3.9 3.2  NA  4     60   \n",
       "4  31        812       23 26 4    7  9 5   12  1  16  6.2 7.7 2.8  4     74   \n",
       "5  49        798       20 23 2    8  7 1    8  5  16  7.7 5.2 2.6  6     68   \n",
       "6  6         673       27 15 6    8  7 5    3 11  11  3.7 3.5 1.8  4     55   \n",
       "7  Thames    Thames    10 16 1   10  9 1    7  0  11  6.1 4.1 0.0  4     45   \n",
       "8  23        643       15 18 1   10 10 1    5  0  15  3.5 3.5 0.0  4     40   \n",
       "9  149       391       31 13 4    9  7 4    5 11  18 17.6 1.4 3.6  6     54   \n",
       "10 149       398       19 17 1    7  6 2    6 10  12  9.2 6.6 3.9  6     39   \n",
       "11 101       491       41 23 3    8 11 3   14 15  24  7.3 5.8 8.6  6     71   \n",
       "12 171       149       47 17 5    9 10 4    8 14  26  5.8 4.7 6.0  6     78   \n",
       "13 130       545       29 15 3    8  6 3    6 10  17 11.7 3.9 6.4  6     47   \n",
       "14 157       85        23 13 3    8  6 2   10  7  15  5.2 2.7 5.4 12     41   \n",
       "15 97        478       20 15 1    7  5 1   12  4  12  4.7 4.8 3.5  6     38   \n",
       "16 85        436       17 16 1    7  7 1    8  3  11  5.1 3.5 2.2  6     44   \n",
       "17 91        464       20 15 2    7  7 3    6 10  12  5.5 3.8 3.9  6     50   \n",
       "18 61        821       20 13 5    8  5 2   10  5  10  4.4 4.4 5.1  6     36   \n",
       "19 94        474       21 18 2    9  9 1    5  6  15  8.1 2.3 1.9  4     49   \n",
       "20 121       348       28 17 1   10 10 2    8  6  20  2.5 2.6 2.2  4     53   \n",
       "21 181       212       94 15 7   10 12 5   11 31  50  4.3 4.3  NA  6    128   \n",
       "22 68        587       22 18 1    8  7 1    5  8  17  8.8 3.0 2.4  6     59   \n",
       "23 61        830       20 14 1    8  6 1    3  4  14 14.3 1.4 1.7  6     44   \n",
       "24 130       549       22 15 3    8  7 3   13  1  17  5.0 4.6 2.5 10     47   \n",
       "25 80        529       12 22 1    6  9 1    9  0  11  6.8 6.4 0.0  4     45   \n",
       "26 149       399       27 15 1    8 10 2    9 11  19  8.2 4.0 7.6  4     53   \n",
       "27 48        788       15 19 2    8  7 3    3  4  12  3.7 3.5 1.9  4     56   \n",
       "28 44        752       10 10 2   10  6 2    2 NA   9  2.0 2.3 2.2  3     26   \n",
       "29 Hallstatt Hallstatt  9 13 3   10  4 4    9  0   8  9.6 5.0 0.0 22     28   \n",
       "30 193       611       68 18 7    9  9 7    3 50  18  9.3 6.5  NA  4    110   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data(Fibulae)\n",
    "Fibulae"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>0%</th><th scope=col>25%</th><th scope=col>50%</th><th scope=col>75%</th><th scope=col>100%</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>FL</th><td> 9.0  </td><td>19.25 </td><td>21.50 </td><td>28.750</td><td> 94.0 </td></tr>\n",
       "\t<tr><th scope=row>BH</th><td> 7.0  </td><td>15.00 </td><td>15.50 </td><td>18.000</td><td> 26.0 </td></tr>\n",
       "\t<tr><th scope=row>BFA</th><td> 1.0  </td><td> 1.00 </td><td> 2.00 </td><td> 4.000</td><td>  7.0 </td></tr>\n",
       "\t<tr><th scope=row>FA</th><td> 6.0  </td><td> 8.00 </td><td> 8.00 </td><td> 9.000</td><td> 10.0 </td></tr>\n",
       "\t<tr><th scope=row>CD</th><td> 4.0  </td><td> 6.00 </td><td> 7.00 </td><td> 9.000</td><td> 16.0 </td></tr>\n",
       "\t<tr><th scope=row>BRA</th><td> 1.0  </td><td> 1.00 </td><td> 2.00 </td><td> 3.750</td><td>  7.0 </td></tr>\n",
       "\t<tr><th scope=row>ED</th><td> 2.0  </td><td> 5.00 </td><td> 8.00 </td><td> 9.750</td><td> 14.0 </td></tr>\n",
       "\t<tr><th scope=row>FEL</th><td> 0.0  </td><td> 4.00 </td><td> 7.00 </td><td>11.000</td><td> 50.0 </td></tr>\n",
       "\t<tr><th scope=row>C</th><td> 8.0  </td><td>11.25 </td><td>15.00 </td><td>18.000</td><td> 50.0 </td></tr>\n",
       "\t<tr><th scope=row>BW</th><td> 2.0  </td><td> 4.00 </td><td> 5.65 </td><td> 8.175</td><td> 17.6 </td></tr>\n",
       "\t<tr><th scope=row>BT</th><td> 1.4  </td><td> 3.05 </td><td> 3.85 </td><td> 4.775</td><td>  7.7 </td></tr>\n",
       "\t<tr><th scope=row>FEW</th><td> 0.0  </td><td> 1.90 </td><td> 2.50 </td><td> 3.900</td><td>  8.6 </td></tr>\n",
       "\t<tr><th scope=row>Coils</th><td> 3.0  </td><td> 4.00 </td><td> 6.00 </td><td> 6.000</td><td> 22.0 </td></tr>\n",
       "\t<tr><th scope=row>Length</th><td>26.0  </td><td>41.75 </td><td>49.50 </td><td>59.750</td><td>128.0 </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllll}\n",
       "  & 0\\% & 25\\% & 50\\% & 75\\% & 100\\%\\\\\n",
       "\\hline\n",
       "\tFL &  9.0   & 19.25  & 21.50  & 28.750 &  94.0 \\\\\n",
       "\tBH &  7.0   & 15.00  & 15.50  & 18.000 &  26.0 \\\\\n",
       "\tBFA &  1.0   &  1.00  &  2.00  &  4.000 &   7.0 \\\\\n",
       "\tFA &  6.0   &  8.00  &  8.00  &  9.000 &  10.0 \\\\\n",
       "\tCD &  4.0   &  6.00  &  7.00  &  9.000 &  16.0 \\\\\n",
       "\tBRA &  1.0   &  1.00  &  2.00  &  3.750 &   7.0 \\\\\n",
       "\tED &  2.0   &  5.00  &  8.00  &  9.750 &  14.0 \\\\\n",
       "\tFEL &  0.0   &  4.00  &  7.00  & 11.000 &  50.0 \\\\\n",
       "\tC &  8.0   & 11.25  & 15.00  & 18.000 &  50.0 \\\\\n",
       "\tBW &  2.0   &  4.00  &  5.65  &  8.175 &  17.6 \\\\\n",
       "\tBT &  1.4   &  3.05  &  3.85  &  4.775 &   7.7 \\\\\n",
       "\tFEW &  0.0   &  1.90  &  2.50  &  3.900 &   8.6 \\\\\n",
       "\tCoils &  3.0   &  4.00  &  6.00  &  6.000 &  22.0 \\\\\n",
       "\tLength & 26.0   & 41.75  & 49.50  & 59.750 & 128.0 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| <!--/--> | 0% | 25% | 50% | 75% | 100% | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| FL |  9.0   | 19.25  | 21.50  | 28.750 |  94.0  | \n",
       "| BH |  7.0   | 15.00  | 15.50  | 18.000 |  26.0  | \n",
       "| BFA |  1.0   |  1.00  |  2.00  |  4.000 |   7.0  | \n",
       "| FA |  6.0   |  8.00  |  8.00  |  9.000 |  10.0  | \n",
       "| CD |  4.0   |  6.00  |  7.00  |  9.000 |  16.0  | \n",
       "| BRA |  1.0   |  1.00  |  2.00  |  3.750 |   7.0  | \n",
       "| ED |  2.0   |  5.00  |  8.00  |  9.750 |  14.0  | \n",
       "| FEL |  0.0   |  4.00  |  7.00  | 11.000 |  50.0  | \n",
       "| C |  8.0   | 11.25  | 15.00  | 18.000 |  50.0  | \n",
       "| BW |  2.0   |  4.00  |  5.65  |  8.175 |  17.6  | \n",
       "| BT |  1.4   |  3.05  |  3.85  |  4.775 |   7.7  | \n",
       "| FEW |  0.0   |  1.90  |  2.50  |  3.900 |   8.6  | \n",
       "| Coils |  3.0   |  4.00  |  6.00  |  6.000 |  22.0  | \n",
       "| Length | 26.0   | 41.75  | 49.50  | 59.750 | 128.0  | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "       0%   25%   50%   75%    100% \n",
       "FL      9.0 19.25 21.50 28.750  94.0\n",
       "BH      7.0 15.00 15.50 18.000  26.0\n",
       "BFA     1.0  1.00  2.00  4.000   7.0\n",
       "FA      6.0  8.00  8.00  9.000  10.0\n",
       "CD      4.0  6.00  7.00  9.000  16.0\n",
       "BRA     1.0  1.00  2.00  3.750   7.0\n",
       "ED      2.0  5.00  8.00  9.750  14.0\n",
       "FEL     0.0  4.00  7.00 11.000  50.0\n",
       "C       8.0 11.25 15.00 18.000  50.0\n",
       "BW      2.0  4.00  5.65  8.175  17.6\n",
       "BT      1.4  3.05  3.85  4.775   7.7\n",
       "FEW     0.0  1.90  2.50  3.900   8.6\n",
       "Coils   3.0  4.00  6.00  6.000  22.0\n",
       "Length 26.0 41.75 49.50 59.750 128.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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D1XL35B2FSgCYIUt9P2b4TN1WOwsKlAEwQpbj8J3N7g0SuETQWaSAjSqhtKFW00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\nSAAEECQAAggSAAEECYDA/wECvKobrh4byAAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “Kernel Density Plot of Length”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t(sapply(Fibulae[, 3:16], quantile, na.rm=TRUE))\n",
    "plot(density(Fibulae$Length, bw=\"SJ\"), main=\"Kernel Density Plot of Length\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "             Curvature\n",
       "Site          Round Medium Shallow\n",
       "  Castenet A    388    504     306\n",
       "  Ferrassie H   276    769     757"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       ", , Site = Castenet A\n",
       "\n",
       "         Sides\n",
       "Curvature Convergent Parallel\n",
       "  Round           89      299\n",
       "  Medium          46      458\n",
       "  Shallow         28      278\n",
       "\n",
       ", , Site = Ferrassie H\n",
       "\n",
       "         Sides\n",
       "Curvature Convergent Parallel\n",
       "  Round           21      255\n",
       "  Medium          61      708\n",
       "  Shallow         59      698\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data(EndScrapers)\n",
    "xtabs(Freq~Site+Curvature, EndScrapers)\n",
    "xtabs(Freq~Curvature+Sides+Site, EndScrapers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>Large.cutting.tools</th><th scope=col>Heavy.duty.tools</th><th scope=col>Large.scrapers</th><th scope=col>Other.large.tools</th><th scope=col>Small.tools</th><th scope=col>Spheroids</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>LS1</th><td>  1</td><td> 1 </td><td> 0 </td><td> 0 </td><td> 59</td><td>0  </td></tr>\n",
       "\t<tr><th scope=row>LS2</th><td> 13</td><td> 9 </td><td> 0 </td><td> 2 </td><td> 42</td><td>2  </td></tr>\n",
       "\t<tr><th scope=row>LS3</th><td>  6</td><td> 7 </td><td> 1 </td><td> 6 </td><td> 34</td><td>0  </td></tr>\n",
       "\t<tr><th scope=row>LS4</th><td>  0</td><td> 0 </td><td> 0 </td><td> 0 </td><td>  0</td><td>1  </td></tr>\n",
       "\t<tr><th scope=row>LS5</th><td> 33</td><td>14 </td><td> 6 </td><td>24 </td><td>139</td><td>3  </td></tr>\n",
       "\t<tr><th scope=row>MS1a</th><td> 51</td><td>11 </td><td> 5 </td><td> 6 </td><td>124</td><td>1  </td></tr>\n",
       "\t<tr><th scope=row>MS1b</th><td> 34</td><td> 1 </td><td> 3 </td><td> 5 </td><td>  7</td><td>0  </td></tr>\n",
       "\t<tr><th scope=row>MS2a</th><td> 69</td><td> 7 </td><td> 4 </td><td> 5 </td><td> 10</td><td>8  </td></tr>\n",
       "\t<tr><th scope=row>MS2b</th><td>435</td><td>30 </td><td>38 </td><td>20 </td><td> 50</td><td>8  </td></tr>\n",
       "\t<tr><th scope=row>MS3</th><td> 24</td><td> 5 </td><td> 3 </td><td> 2 </td><td> 41</td><td>2  </td></tr>\n",
       "\t<tr><th scope=row>MS4</th><td> 52</td><td> 4 </td><td> 1 </td><td> 5 </td><td> 15</td><td>1  </td></tr>\n",
       "\t<tr><th scope=row>MS5</th><td> 57</td><td> 5 </td><td>12 </td><td>25 </td><td>108</td><td>4  </td></tr>\n",
       "\t<tr><th scope=row>MS6</th><td> 14</td><td> 1 </td><td> 2 </td><td> 0 </td><td> 13</td><td>0  </td></tr>\n",
       "\t<tr><th scope=row>MS7</th><td> 89</td><td> 5 </td><td> 5 </td><td> 4 </td><td>  4</td><td>5  </td></tr>\n",
       "\t<tr><th scope=row>MS8</th><td> 97</td><td> 4 </td><td> 6 </td><td> 7 </td><td> 33</td><td>0  </td></tr>\n",
       "\t<tr><th scope=row>MS9</th><td>  2</td><td> 3 </td><td> 0 </td><td> 4 </td><td> 13</td><td>0  </td></tr>\n",
       "\t<tr><th scope=row>US1</th><td> 51</td><td> 4 </td><td> 7 </td><td> 8 </td><td> 74</td><td>3  </td></tr>\n",
       "\t<tr><th scope=row>US2</th><td>  7</td><td> 2 </td><td> 0 </td><td> 6 </td><td> 47</td><td>1  </td></tr>\n",
       "\t<tr><th scope=row>US3</th><td>  0</td><td> 2 </td><td> 1 </td><td> 0 </td><td> 16</td><td>0  </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllll}\n",
       "  & Large.cutting.tools & Heavy.duty.tools & Large.scrapers & Other.large.tools & Small.tools & Spheroids\\\\\n",
       "\\hline\n",
       "\tLS1 &   1 &  1  &  0  &  0  &  59 & 0  \\\\\n",
       "\tLS2 &  13 &  9  &  0  &  2  &  42 & 2  \\\\\n",
       "\tLS3 &   6 &  7  &  1  &  6  &  34 & 0  \\\\\n",
       "\tLS4 &   0 &  0  &  0  &  0  &   0 & 1  \\\\\n",
       "\tLS5 &  33 & 14  &  6  & 24  & 139 & 3  \\\\\n",
       "\tMS1a &  51 & 11  &  5  &  6  & 124 & 1  \\\\\n",
       "\tMS1b &  34 &  1  &  3  &  5  &   7 & 0  \\\\\n",
       "\tMS2a &  69 &  7  &  4  &  5  &  10 & 8  \\\\\n",
       "\tMS2b & 435 & 30  & 38  & 20  &  50 & 8  \\\\\n",
       "\tMS3 &  24 &  5  &  3  &  2  &  41 & 2  \\\\\n",
       "\tMS4 &  52 &  4  &  1  &  5  &  15 & 1  \\\\\n",
       "\tMS5 &  57 &  5  & 12  & 25  & 108 & 4  \\\\\n",
       "\tMS6 &  14 &  1  &  2  &  0  &  13 & 0  \\\\\n",
       "\tMS7 &  89 &  5  &  5  &  4  &   4 & 5  \\\\\n",
       "\tMS8 &  97 &  4  &  6  &  7  &  33 & 0  \\\\\n",
       "\tMS9 &   2 &  3  &  0  &  4  &  13 & 0  \\\\\n",
       "\tUS1 &  51 &  4  &  7  &  8  &  74 & 3  \\\\\n",
       "\tUS2 &   7 &  2  &  0  &  6  &  47 & 1  \\\\\n",
       "\tUS3 &   0 &  2  &  1  &  0  &  16 & 0  \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| <!--/--> | Large.cutting.tools | Heavy.duty.tools | Large.scrapers | Other.large.tools | Small.tools | Spheroids | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| LS1 |   1 |  1  |  0  |  0  |  59 | 0   | \n",
       "| LS2 |  13 |  9  |  0  |  2  |  42 | 2   | \n",
       "| LS3 |   6 |  7  |  1  |  6  |  34 | 0   | \n",
       "| LS4 |   0 |  0  |  0  |  0  |   0 | 1   | \n",
       "| LS5 |  33 | 14  |  6  | 24  | 139 | 3   | \n",
       "| MS1a |  51 | 11  |  5  |  6  | 124 | 1   | \n",
       "| MS1b |  34 |  1  |  3  |  5  |   7 | 0   | \n",
       "| MS2a |  69 |  7  |  4  |  5  |  10 | 8   | \n",
       "| MS2b | 435 | 30  | 38  | 20  |  50 | 8   | \n",
       "| MS3 |  24 |  5  |  3  |  2  |  41 | 2   | \n",
       "| MS4 |  52 |  4  |  1  |  5  |  15 | 1   | \n",
       "| MS5 |  57 |  5  | 12  | 25  | 108 | 4   | \n",
       "| MS6 |  14 |  1  |  2  |  0  |  13 | 0   | \n",
       "| MS7 |  89 |  5  |  5  |  4  |   4 | 5   | \n",
       "| MS8 |  97 |  4  |  6  |  7  |  33 | 0   | \n",
       "| MS9 |   2 |  3  |  0  |  4  |  13 | 0   | \n",
       "| US1 |  51 |  4  |  7  |  8  |  74 | 3   | \n",
       "| US2 |   7 |  2  |  0  |  6  |  47 | 1   | \n",
       "| US3 |   0 |  2  |  1  |  0  |  16 | 0   | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "     Large.cutting.tools Heavy.duty.tools Large.scrapers Other.large.tools\n",
       "LS1    1                  1                0              0               \n",
       "LS2   13                  9                0              2               \n",
       "LS3    6                  7                1              6               \n",
       "LS4    0                  0                0              0               \n",
       "LS5   33                 14                6             24               \n",
       "MS1a  51                 11                5              6               \n",
       "MS1b  34                  1                3              5               \n",
       "MS2a  69                  7                4              5               \n",
       "MS2b 435                 30               38             20               \n",
       "MS3   24                  5                3              2               \n",
       "MS4   52                  4                1              5               \n",
       "MS5   57                  5               12             25               \n",
       "MS6   14                  1                2              0               \n",
       "MS7   89                  5                5              4               \n",
       "MS8   97                  4                6              7               \n",
       "MS9    2                  3                0              4               \n",
       "US1   51                  4                7              8               \n",
       "US2    7                  2                0              6               \n",
       "US3    0                  2                1              0               \n",
       "     Small.tools Spheroids\n",
       "LS1   59         0        \n",
       "LS2   42         2        \n",
       "LS3   34         0        \n",
       "LS4    0         1        \n",
       "LS5  139         3        \n",
       "MS1a 124         1        \n",
       "MS1b   7         0        \n",
       "MS2a  10         8        \n",
       "MS2b  50         8        \n",
       "MS3   41         2        \n",
       "MS4   15         1        \n",
       "MS5  108         4        \n",
       "MS6   13         0        \n",
       "MS7    4         5        \n",
       "MS8   33         0        \n",
       "MS9   13         0        \n",
       "US1   74         3        \n",
       "US2   47         1        \n",
       "US3   16         0        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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FwhJFmUmQ1bV7a3tbWv3Oo/ipByhZBk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\nAhQQEqCAkAAFhAQo+P/U712fXH4SdwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data(Olorgesailie.maj)\n",
    "Olorgesailie.maj\n",
    "# Compute percentages over the localities\n",
    "Olor.pct <- prop.table(as.matrix(Olorgesailie.maj), 1)*100\n",
    "boxplot(Olor.pct)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "data(Olorgesailie.sub)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>Strat</th><th scope=col>Locality</th><th scope=col>HA</th><th scope=col>PHA</th><th scope=col>CHA</th><th scope=col>CL</th><th scope=col>KN</th><th scope=col>BLCT</th><th scope=col>PAT</th><th scope=col>CH</th><th scope=col>CS</th><th scope=col>LFS</th><th scope=col>CB</th><th scope=col>OLT</th><th scope=col>SSS</th><th scope=col>SSNP</th><th scope=col>OST</th><th scope=col>SP</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>L1</th><td>Lower   </td><td>BBB     </td><td>0       </td><td>  0     </td><td> 0      </td><td>  1     </td><td> 0      </td><td> 0      </td><td>1       </td><td> 0      </td><td>0       </td><td> 0      </td><td> 0      </td><td> 0      </td><td> 34     </td><td>24      </td><td>1       </td><td>0       </td></tr>\n",
       "\t<tr><th scope=row>L2</th><td>Lower   </td><td>BBA     </td><td>0       </td><td>  3     </td><td> 3      </td><td>  3     </td><td> 0      </td><td> 4      </td><td>0       </td><td> 4      </td><td>5       </td><td> 0      </td><td> 2      </td><td> 0      </td><td> 22     </td><td>17      </td><td>3       </td><td>2       </td></tr>\n",
       "\t<tr><th scope=row>L3</th><td>Lower   </td><td>FB      </td><td>0       </td><td>  3     </td><td> 1      </td><td>  1     </td><td> 0      </td><td> 1      </td><td>0       </td><td> 6      </td><td>1       </td><td> 1      </td><td> 5      </td><td> 1      </td><td> 13     </td><td>20      </td><td>1       </td><td>1       </td></tr>\n",
       "\t<tr><th scope=row>L4</th><td>Lower   </td><td>FB/HL   </td><td>0       </td><td>  0     </td><td> 0      </td><td>  0     </td><td> 0      </td><td> 0      </td><td>0       </td><td> 0      </td><td>0       </td><td> 0      </td><td> 0      </td><td> 0      </td><td>  0     </td><td> 0      </td><td>0       </td><td>1       </td></tr>\n",
       "\t<tr><th scope=row>L5</th><td>Lower   </td><td>I3      </td><td>6       </td><td> 17     </td><td> 3      </td><td>  5     </td><td> 2      </td><td> 0      </td><td>4       </td><td> 9      </td><td>1       </td><td> 6      </td><td>20      </td><td> 4      </td><td>110     </td><td>29      </td><td>0       </td><td>3       </td></tr>\n",
       "\t<tr><th scope=row>M1a</th><td>Middle  </td><td>DE/89A-L</td><td>1       </td><td> 36     </td><td> 0      </td><td>  1     </td><td> 4      </td><td> 9      </td><td>2       </td><td> 7      </td><td>2       </td><td> 5      </td><td> 4      </td><td> 2      </td><td> 78     </td><td>45      </td><td>1       </td><td>1       </td></tr>\n",
       "\t<tr><th scope=row>M1b</th><td>Middle  </td><td>DE/89A-I</td><td>2       </td><td> 20     </td><td> 0      </td><td>  1     </td><td> 2      </td><td> 9      </td><td>1       </td><td> 0      </td><td>0       </td><td> 3      </td><td> 1      </td><td> 4      </td><td>  7     </td><td> 0      </td><td>0       </td><td>0       </td></tr>\n",
       "\t<tr><th scope=row>M2a</th><td>Middle  </td><td>DE/89B-L</td><td>1       </td><td> 27     </td><td> 0      </td><td> 34     </td><td> 1      </td><td> 6      </td><td>1       </td><td> 6      </td><td>0       </td><td> 4      </td><td> 2      </td><td> 3      </td><td>  6     </td><td> 1      </td><td>3       </td><td>8       </td></tr>\n",
       "\t<tr><th scope=row>M2b</th><td>Middle  </td><td>DE/89B-I</td><td>2       </td><td>245     </td><td> 0      </td><td>148     </td><td>33      </td><td> 7      </td><td>9       </td><td>18      </td><td>3       </td><td>38      </td><td> 0      </td><td>20      </td><td> 29     </td><td>21      </td><td>0       </td><td>8       </td></tr>\n",
       "\t<tr><th scope=row>M3</th><td>Middle  </td><td>DE/89C  </td><td>3       </td><td>  9     </td><td> 2      </td><td>  6     </td><td> 0      </td><td> 4      </td><td>1       </td><td> 4      </td><td>0       </td><td> 3      </td><td> 1      </td><td> 1      </td><td> 22     </td><td>19      </td><td>0       </td><td>2       </td></tr>\n",
       "\t<tr><th scope=row>M4</th><td>Middle  </td><td>H/6     </td><td>7       </td><td> 21     </td><td>10      </td><td>  4     </td><td> 6      </td><td> 4      </td><td>1       </td><td> 3      </td><td>0       </td><td> 1      </td><td> 2      </td><td> 3      </td><td> 10     </td><td> 4      </td><td>1       </td><td>1       </td></tr>\n",
       "\t<tr><th scope=row>M5</th><td>Middle  </td><td>H/9-A   </td><td>0       </td><td> 15     </td><td>11      </td><td> 18     </td><td> 4      </td><td> 9      </td><td>0       </td><td> 3      </td><td>2       </td><td>12      </td><td> 9      </td><td>16      </td><td> 85     </td><td>23      </td><td>0       </td><td>4       </td></tr>\n",
       "\t<tr><th scope=row>M6</th><td>Middle  </td><td>H/9-AM  </td><td>2       </td><td>  5     </td><td> 5      </td><td>  2     </td><td> 0      </td><td> 0      </td><td>1       </td><td> 0      </td><td>0       </td><td> 2      </td><td> 0      </td><td> 0      </td><td> 12     </td><td> 1      </td><td>0       </td><td>0       </td></tr>\n",
       "\t<tr><th scope=row>M7</th><td>Middle  </td><td>Mid     </td><td>3       </td><td> 27     </td><td>15      </td><td> 34     </td><td> 4      </td><td> 6      </td><td>1       </td><td> 4      </td><td>0       </td><td> 5      </td><td> 0      </td><td> 4      </td><td>  1     </td><td> 1      </td><td>2       </td><td>5       </td></tr>\n",
       "\t<tr><th scope=row>M8</th><td>Middle  </td><td>Meng    </td><td>2       </td><td> 46     </td><td>29      </td><td>  7     </td><td> 1      </td><td>12      </td><td>1       </td><td> 3      </td><td>0       </td><td> 6      </td><td> 6      </td><td> 1      </td><td> 24     </td><td> 9      </td><td>0       </td><td>0       </td></tr>\n",
       "\t<tr><th scope=row>M9</th><td>Middle  </td><td>LHS     </td><td>0       </td><td>  1     </td><td> 0      </td><td>  0     </td><td> 0      </td><td> 1      </td><td>1       </td><td> 2      </td><td>0       </td><td> 0      </td><td> 1      </td><td> 3      </td><td>  8     </td><td> 5      </td><td>0       </td><td>0       </td></tr>\n",
       "\t<tr><th scope=row>U1</th><td>Upper   </td><td>TrTr/M10</td><td>0       </td><td> 22     </td><td> 3      </td><td> 19     </td><td> 1      </td><td> 6      </td><td>1       </td><td> 2      </td><td>1       </td><td> 7      </td><td> 4      </td><td> 4      </td><td> 58     </td><td>15      </td><td>1       </td><td>3       </td></tr>\n",
       "\t<tr><th scope=row>U2</th><td>Upper   </td><td>Hog     </td><td>1       </td><td>  2     </td><td> 1      </td><td>  1     </td><td> 0      </td><td> 3      </td><td>0       </td><td> 2      </td><td>0       </td><td> 0      </td><td> 1      </td><td> 5      </td><td> 34     </td><td>13      </td><td>0       </td><td>1       </td></tr>\n",
       "\t<tr><th scope=row>U3</th><td>Upper   </td><td>MFS     </td><td>0       </td><td>  0     </td><td> 0      </td><td>  1     </td><td> 0      </td><td> 0      </td><td>0       </td><td> 2      </td><td>0       </td><td> 1      </td><td> 0      </td><td> 0      </td><td>  5     </td><td> 9      </td><td>2       </td><td>0       </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllllllllllllll}\n",
       "  & Strat & Locality & HA & PHA & CHA & CL & KN & BLCT & PAT & CH & CS & LFS & CB & OLT & SSS & SSNP & OST & SP\\\\\n",
       "\\hline\n",
       "\tL1 & Lower    & BBB      & 0        &   0      &  0       &   1      &  0       &  0       & 1        &  0       & 0        &  0       &  0       &  0       &  34      & 24       & 1        & 0       \\\\\n",
       "\tL2 & Lower    & BBA      & 0        &   3      &  3       &   3      &  0       &  4       & 0        &  4       & 5        &  0       &  2       &  0       &  22      & 17       & 3        & 2       \\\\\n",
       "\tL3 & Lower    & FB       & 0        &   3      &  1       &   1      &  0       &  1       & 0        &  6       & 1        &  1       &  5       &  1       &  13      & 20       & 1        & 1       \\\\\n",
       "\tL4 & Lower    & FB/HL    & 0        &   0      &  0       &   0      &  0       &  0       & 0        &  0       & 0        &  0       &  0       &  0       &   0      &  0       & 0        & 1       \\\\\n",
       "\tL5 & Lower    & I3       & 6        &  17      &  3       &   5      &  2       &  0       & 4        &  9       & 1        &  6       & 20       &  4       & 110      & 29       & 0        & 3       \\\\\n",
       "\tM1a & Middle   & DE/89A-L & 1        &  36      &  0       &   1      &  4       &  9       & 2        &  7       & 2        &  5       &  4       &  2       &  78      & 45       & 1        & 1       \\\\\n",
       "\tM1b & Middle   & DE/89A-I & 2        &  20      &  0       &   1      &  2       &  9       & 1        &  0       & 0        &  3       &  1       &  4       &   7      &  0       & 0        & 0       \\\\\n",
       "\tM2a & Middle   & DE/89B-L & 1        &  27      &  0       &  34      &  1       &  6       & 1        &  6       & 0        &  4       &  2       &  3       &   6      &  1       & 3        & 8       \\\\\n",
       "\tM2b & Middle   & DE/89B-I & 2        & 245      &  0       & 148      & 33       &  7       & 9        & 18       & 3        & 38       &  0       & 20       &  29      & 21       & 0        & 8       \\\\\n",
       "\tM3 & Middle   & DE/89C   & 3        &   9      &  2       &   6      &  0       &  4       & 1        &  4       & 0        &  3       &  1       &  1       &  22      & 19       & 0        & 2       \\\\\n",
       "\tM4 & Middle   & H/6      & 7        &  21      & 10       &   4      &  6       &  4       & 1        &  3       & 0        &  1       &  2       &  3       &  10      &  4       & 1        & 1       \\\\\n",
       "\tM5 & Middle   & H/9-A    & 0        &  15      & 11       &  18      &  4       &  9       & 0        &  3       & 2        & 12       &  9       & 16       &  85      & 23       & 0        & 4       \\\\\n",
       "\tM6 & Middle   & H/9-AM   & 2        &   5      &  5       &   2      &  0       &  0       & 1        &  0       & 0        &  2       &  0       &  0       &  12      &  1       & 0        & 0       \\\\\n",
       "\tM7 & Middle   & Mid      & 3        &  27      & 15       &  34      &  4       &  6       & 1        &  4       & 0        &  5       &  0       &  4       &   1      &  1       & 2        & 5       \\\\\n",
       "\tM8 & Middle   & Meng     & 2        &  46      & 29       &   7      &  1       & 12       & 1        &  3       & 0        &  6       &  6       &  1       &  24      &  9       & 0        & 0       \\\\\n",
       "\tM9 & Middle   & LHS      & 0        &   1      &  0       &   0      &  0       &  1       & 1        &  2       & 0        &  0       &  1       &  3       &   8      &  5       & 0        & 0       \\\\\n",
       "\tU1 & Upper    & TrTr/M10 & 0        &  22      &  3       &  19      &  1       &  6       & 1        &  2       & 1        &  7       &  4       &  4       &  58      & 15       & 1        & 3       \\\\\n",
       "\tU2 & Upper    & Hog      & 1        &   2      &  1       &   1      &  0       &  3       & 0        &  2       & 0        &  0       &  1       &  5       &  34      & 13       & 0        & 1       \\\\\n",
       "\tU3 & Upper    & MFS      & 0        &   0      &  0       &   1      &  0       &  0       & 0        &  2       & 0        &  1       &  0       &  0       &   5      &  9       & 2        & 0       \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| <!--/--> | Strat | Locality | HA | PHA | CHA | CL | KN | BLCT | PAT | CH | CS | LFS | CB | OLT | SSS | SSNP | OST | SP | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| L1 | Lower    | BBB      | 0        |   0      |  0       |   1      |  0       |  0       | 1        |  0       | 0        |  0       |  0       |  0       |  34      | 24       | 1        | 0        | \n",
       "| L2 | Lower    | BBA      | 0        |   3      |  3       |   3      |  0       |  4       | 0        |  4       | 5        |  0       |  2       |  0       |  22      | 17       | 3        | 2        | \n",
       "| L3 | Lower    | FB       | 0        |   3      |  1       |   1      |  0       |  1       | 0        |  6       | 1        |  1       |  5       |  1       |  13      | 20       | 1        | 1        | \n",
       "| L4 | Lower    | FB/HL    | 0        |   0      |  0       |   0      |  0       |  0       | 0        |  0       | 0        |  0       |  0       |  0       |   0      |  0       | 0        | 1        | \n",
       "| L5 | Lower    | I3       | 6        |  17      |  3       |   5      |  2       |  0       | 4        |  9       | 1        |  6       | 20       |  4       | 110      | 29       | 0        | 3        | \n",
       "| M1a | Middle   | DE/89A-L | 1        |  36      |  0       |   1      |  4       |  9       | 2        |  7       | 2        |  5       |  4       |  2       |  78      | 45       | 1        | 1        | \n",
       "| M1b | Middle   | DE/89A-I | 2        |  20      |  0       |   1      |  2       |  9       | 1        |  0       | 0        |  3       |  1       |  4       |   7      |  0       | 0        | 0        | \n",
       "| M2a | Middle   | DE/89B-L | 1        |  27      |  0       |  34      |  1       |  6       | 1        |  6       | 0        |  4       |  2       |  3       |   6      |  1       | 3        | 8        | \n",
       "| M2b | Middle   | DE/89B-I | 2        | 245      |  0       | 148      | 33       |  7       | 9        | 18       | 3        | 38       |  0       | 20       |  29      | 21       | 0        | 8        | \n",
       "| M3 | Middle   | DE/89C   | 3        |   9      |  2       |   6      |  0       |  4       | 1        |  4       | 0        |  3       |  1       |  1       |  22      | 19       | 0        | 2        | \n",
       "| M4 | Middle   | H/6      | 7        |  21      | 10       |   4      |  6       |  4       | 1        |  3       | 0        |  1       |  2       |  3       |  10      |  4       | 1        | 1        | \n",
       "| M5 | Middle   | H/9-A    | 0        |  15      | 11       |  18      |  4       |  9       | 0        |  3       | 2        | 12       |  9       | 16       |  85      | 23       | 0        | 4        | \n",
       "| M6 | Middle   | H/9-AM   | 2        |   5      |  5       |   2      |  0       |  0       | 1        |  0       | 0        |  2       |  0       |  0       |  12      |  1       | 0        | 0        | \n",
       "| M7 | Middle   | Mid      | 3        |  27      | 15       |  34      |  4       |  6       | 1        |  4       | 0        |  5       |  0       |  4       |   1      |  1       | 2        | 5        | \n",
       "| M8 | Middle   | Meng     | 2        |  46      | 29       |   7      |  1       | 12       | 1        |  3       | 0        |  6       |  6       |  1       |  24      |  9       | 0        | 0        | \n",
       "| M9 | Middle   | LHS      | 0        |   1      |  0       |   0      |  0       |  1       | 1        |  2       | 0        |  0       |  1       |  3       |   8      |  5       | 0        | 0        | \n",
       "| U1 | Upper    | TrTr/M10 | 0        |  22      |  3       |  19      |  1       |  6       | 1        |  2       | 1        |  7       |  4       |  4       |  58      | 15       | 1        | 3        | \n",
       "| U2 | Upper    | Hog      | 1        |   2      |  1       |   1      |  0       |  3       | 0        |  2       | 0        |  0       |  1       |  5       |  34      | 13       | 0        | 1        | \n",
       "| U3 | Upper    | MFS      | 0        |   0      |  0       |   1      |  0       |  0       | 0        |  2       | 0        |  1       |  0       |  0       |   5      |  9       | 2        | 0        | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "    Strat  Locality HA PHA CHA CL  KN BLCT PAT CH CS LFS CB OLT SSS SSNP OST SP\n",
       "L1  Lower  BBB      0    0  0    1  0  0   1    0 0   0   0  0   34 24   1   0 \n",
       "L2  Lower  BBA      0    3  3    3  0  4   0    4 5   0   2  0   22 17   3   2 \n",
       "L3  Lower  FB       0    3  1    1  0  1   0    6 1   1   5  1   13 20   1   1 \n",
       "L4  Lower  FB/HL    0    0  0    0  0  0   0    0 0   0   0  0    0  0   0   1 \n",
       "L5  Lower  I3       6   17  3    5  2  0   4    9 1   6  20  4  110 29   0   3 \n",
       "M1a Middle DE/89A-L 1   36  0    1  4  9   2    7 2   5   4  2   78 45   1   1 \n",
       "M1b Middle DE/89A-I 2   20  0    1  2  9   1    0 0   3   1  4    7  0   0   0 \n",
       "M2a Middle DE/89B-L 1   27  0   34  1  6   1    6 0   4   2  3    6  1   3   8 \n",
       "M2b Middle DE/89B-I 2  245  0  148 33  7   9   18 3  38   0 20   29 21   0   8 \n",
       "M3  Middle DE/89C   3    9  2    6  0  4   1    4 0   3   1  1   22 19   0   2 \n",
       "M4  Middle H/6      7   21 10    4  6  4   1    3 0   1   2  3   10  4   1   1 \n",
       "M5  Middle H/9-A    0   15 11   18  4  9   0    3 2  12   9 16   85 23   0   4 \n",
       "M6  Middle H/9-AM   2    5  5    2  0  0   1    0 0   2   0  0   12  1   0   0 \n",
       "M7  Middle Mid      3   27 15   34  4  6   1    4 0   5   0  4    1  1   2   5 \n",
       "M8  Middle Meng     2   46 29    7  1 12   1    3 0   6   6  1   24  9   0   0 \n",
       "M9  Middle LHS      0    1  0    0  0  1   1    2 0   0   1  3    8  5   0   0 \n",
       "U1  Upper  TrTr/M10 0   22  3   19  1  6   1    2 1   7   4  4   58 15   1   3 \n",
       "U2  Upper  Hog      1    2  1    1  0  3   0    2 0   0   1  5   34 13   0   1 \n",
       "U3  Upper  MFS      0    0  0    1  0  0   0    2 0   1   0  0    5  9   2   0 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Olorgesailie.sub"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "\tPearson's Chi-squared test with simulated p-value (based on 2000\n",
       "\treplicates)\n",
       "\n",
       "data:  Olorgesailie.sub[, 3:18]\n",
       "X-squared = 1717.1, df = NA, p-value = 0.0004998\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chisq.test(Olorgesailie.sub[,3:18], simulate.p.value=TRUE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import your own data\n",
    "\n",
    "In the following example, we have uploaded a file to the 'data-import' folder. It is a simple csv containing the data concerning the XRF measurements of the British School at Rome's collection of stamped brick [Graham 2006](https://hcommons.org/deposits/item/hc:18909/). Try visualizing this data or re-running Graham's analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "BSR_XRF <- read.csv(file=\"./data-import/xrd-majors-bsr-brickstamps.csv\", header=TRUE, sep=\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Sample</th><th scope=col>Quartz</th><th scope=col>Augite</th><th scope=col>Haematite</th><th scope=col>Gehlenite</th><th scope=col>Calcite</th><th scope=col>Analcime</th><th scope=col>Muscovite</th><th scope=col>Dolomite</th><th scope=col>Anorthoclase</th><th scope=col>Sanidine</th><th scope=col>Albite</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>se 1 </td><td> 58  </td><td> 70  </td><td>14   </td><td> 0   </td><td>  0  </td><td>10   </td><td>34   </td><td>36   </td><td>105  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 2 </td><td> 16  </td><td> 83  </td><td> 5   </td><td> 0   </td><td> 43  </td><td> 9   </td><td> 0   </td><td>23   </td><td>  0  </td><td>  0  </td><td> 66  </td></tr>\n",
       "\t<tr><td>se 4 </td><td> 89  </td><td> 36  </td><td>17   </td><td>36   </td><td> 70  </td><td> 0   </td><td> 7   </td><td>14   </td><td>  0  </td><td> 55  </td><td> 61  </td></tr>\n",
       "\t<tr><td>se 5 </td><td> 42  </td><td> 94  </td><td> 8   </td><td> 0   </td><td>  0  </td><td> 0   </td><td>10   </td><td>40   </td><td>  0  </td><td> 65  </td><td> 55  </td></tr>\n",
       "\t<tr><td>se 7 </td><td> 20  </td><td>102  </td><td> 9   </td><td> 0   </td><td>  0  </td><td>15   </td><td>10   </td><td>30   </td><td> 85  </td><td> 25  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 8 </td><td> 50  </td><td> 14  </td><td>10   </td><td>20   </td><td> 75  </td><td> 0   </td><td>10   </td><td> 0   </td><td> 56  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 10</td><td> 50  </td><td> 60  </td><td>16   </td><td>20   </td><td>  0  </td><td> 0   </td><td>42   </td><td>48   </td><td>  0  </td><td> 50  </td><td> 45  </td></tr>\n",
       "\t<tr><td>se 13</td><td> 87  </td><td> 25  </td><td>24   </td><td>30   </td><td> 55  </td><td>19   </td><td>14   </td><td>13   </td><td> 56  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 14</td><td> 32  </td><td>104  </td><td> 9   </td><td> 3   </td><td>  0  </td><td>20   </td><td>10   </td><td>40   </td><td> 85  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 14</td><td> 38  </td><td>106  </td><td>12   </td><td> 0   </td><td>  5  </td><td>17   </td><td>15   </td><td>47   </td><td>  0  </td><td> 60  </td><td> 65  </td></tr>\n",
       "\t<tr><td>se 16</td><td> 86  </td><td> 28  </td><td>14   </td><td>50   </td><td> 86  </td><td>25   </td><td>26   </td><td>22   </td><td>103  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 18</td><td> 38  </td><td> 71  </td><td>17   </td><td> 0   </td><td> 32  </td><td> 0   </td><td> 3   </td><td>28   </td><td> 95  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 19</td><td> 38  </td><td> 92  </td><td> 9   </td><td> 0   </td><td> 50  </td><td> 0   </td><td> 0   </td><td>30   </td><td>  0  </td><td>  0  </td><td>100  </td></tr>\n",
       "\t<tr><td>se 20</td><td>106  </td><td> 41  </td><td>23   </td><td>23   </td><td> 32  </td><td>16   </td><td> 0   </td><td>24   </td><td> 96  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 21</td><td> 23  </td><td>100  </td><td> 7   </td><td> 0   </td><td>  0  </td><td> 0   </td><td>11   </td><td>34   </td><td>  0  </td><td>105  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 22</td><td> 36  </td><td>106  </td><td> 6   </td><td>40   </td><td>  0  </td><td> 7   </td><td>42   </td><td> 0   </td><td> 72  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 23</td><td> 26  </td><td>  0  </td><td> 3   </td><td> 0   </td><td>124  </td><td> 0   </td><td>12   </td><td> 0   </td><td>  0  </td><td>  0  </td><td> 12  </td></tr>\n",
       "\t<tr><td>se 26</td><td> 68  </td><td> 33  </td><td> 8   </td><td>18   </td><td>  0  </td><td>24   </td><td> 0   </td><td>23   </td><td> 70  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 27</td><td> 45  </td><td> 93  </td><td>17   </td><td> 0   </td><td> 32  </td><td> 0   </td><td> 3   </td><td>40   </td><td>  0  </td><td>  0  </td><td> 75  </td></tr>\n",
       "\t<tr><td>se 28</td><td> 76  </td><td> 44  </td><td>14   </td><td>33   </td><td> 66  </td><td>14   </td><td> 6   </td><td> 0   </td><td> 65  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 29</td><td> 21  </td><td> 95  </td><td> 8   </td><td> 7   </td><td> 95  </td><td> 0   </td><td> 7   </td><td>32   </td><td>  0  </td><td> 50  </td><td> 60  </td></tr>\n",
       "\t<tr><td>se 30</td><td> 82  </td><td> 44  </td><td>12   </td><td> 6   </td><td>  0  </td><td> 0   </td><td> 6   </td><td>17   </td><td>  0  </td><td> 35  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 36</td><td> 52  </td><td> 90  </td><td> 8   </td><td> 0   </td><td> 43  </td><td> 0   </td><td> 0   </td><td>39   </td><td> 95  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 37</td><td> 97  </td><td> 48  </td><td>24   </td><td>33   </td><td> 12  </td><td>22   </td><td>24   </td><td>20   </td><td> 95  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 42</td><td> 56  </td><td>105  </td><td>11   </td><td> 0   </td><td>  0  </td><td>17   </td><td> 0   </td><td>40   </td><td>  0  </td><td>114  </td><td> 90  </td></tr>\n",
       "\t<tr><td>se 45</td><td> 29  </td><td> 92  </td><td>10   </td><td> 0   </td><td>  0  </td><td> 0   </td><td> 5   </td><td>31   </td><td> 55  </td><td>  0  </td><td>  0  </td></tr>\n",
       "\t<tr><td>se 47</td><td> 47  </td><td>110  </td><td>11   </td><td> 0   </td><td>  0  </td><td>20   </td><td> 0   </td><td>40   </td><td>  0  </td><td> 88  </td><td> 96  </td></tr>\n",
       "\t<tr><td>se 48</td><td> 41  </td><td> 16  </td><td> 7   </td><td> 7   </td><td> 80  </td><td> 0   </td><td> 8   </td><td>12   </td><td>  0  </td><td> 30  </td><td> 35  </td></tr>\n",
       "\t<tr><td>se 50</td><td> 88  </td><td> 22  </td><td>12   </td><td>17   </td><td>  0  </td><td>14   </td><td>17   </td><td> 0   </td><td>  0  </td><td> 50  </td><td> 50  </td></tr>\n",
       "\t<tr><td>se 51</td><td> 40  </td><td>110  </td><td> 8   </td><td> 0   </td><td> 10  </td><td>15   </td><td>10   </td><td>42   </td><td> 84  </td><td>  0  </td><td> 88  </td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>se 168</td><td>117   </td><td> 85   </td><td>18    </td><td>60    </td><td> 10   </td><td>25    </td><td>22    </td><td>21    </td><td>100   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>se 170</td><td> 33   </td><td> 23   </td><td>31    </td><td> 0    </td><td> 11   </td><td> 0    </td><td> 0    </td><td>12    </td><td>  0   </td><td> 0    </td><td>117   </td></tr>\n",
       "\t<tr><td>se 171</td><td> 63   </td><td> 26   </td><td>13    </td><td>46    </td><td>100   </td><td>13    </td><td>15    </td><td> 0    </td><td> 25   </td><td> 0    </td><td> 70   </td></tr>\n",
       "\t<tr><td>se 172</td><td>107   </td><td> 45   </td><td>31    </td><td> 0    </td><td>  0   </td><td> 0    </td><td> 0    </td><td>16    </td><td> 76   </td><td> 0    </td><td>103   </td></tr>\n",
       "\t<tr><td>se 174</td><td> 30   </td><td> 29   </td><td>34    </td><td> 0    </td><td>  0   </td><td> 0    </td><td>11    </td><td> 0    </td><td>  0   </td><td> 0    </td><td>109   </td></tr>\n",
       "\t<tr><td>se 176</td><td> 33   </td><td> 55   </td><td> 7    </td><td> 2    </td><td> 14   </td><td> 0    </td><td> 0    </td><td>10    </td><td>  0   </td><td>30    </td><td> 85   </td></tr>\n",
       "\t<tr><td>se 177</td><td> 65   </td><td> 36   </td><td>10    </td><td>13    </td><td> 74   </td><td> 0    </td><td> 0    </td><td>10    </td><td>  0   </td><td>35    </td><td> 70   </td></tr>\n",
       "\t<tr><td>fal 1 </td><td>105   </td><td>  0   </td><td>10    </td><td>60    </td><td> 30   </td><td>26    </td><td>33    </td><td> 0    </td><td> 90   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>fal 2 </td><td> 28   </td><td> 63   </td><td> 0    </td><td> 6    </td><td>120   </td><td>36    </td><td> 0    </td><td>24    </td><td> 66   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>fal 3 </td><td> 92   </td><td> 54   </td><td>20    </td><td>90    </td><td> 76   </td><td>20    </td><td> 9    </td><td> 0    </td><td> 85   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>fnv13 </td><td> 43   </td><td> 87   </td><td> 7    </td><td>30    </td><td> 60   </td><td>15    </td><td> 0    </td><td> 0    </td><td> 42   </td><td> 0    </td><td> 60   </td></tr>\n",
       "\t<tr><td>fnv14 </td><td> 92   </td><td> 91   </td><td>13    </td><td> 0    </td><td>110   </td><td> 9    </td><td> 0    </td><td>32    </td><td> 70   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>fnv15 </td><td> 76   </td><td> 25   </td><td>20    </td><td> 0    </td><td>100   </td><td>16    </td><td> 0    </td><td> 0    </td><td> 24   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>fnv4  </td><td> 64   </td><td> 25   </td><td> 6    </td><td> 0    </td><td> 72   </td><td> 0    </td><td> 9    </td><td> 3    </td><td>  0   </td><td> 0    </td><td> 27   </td></tr>\n",
       "\t<tr><td>fnv5  </td><td> 52   </td><td>  0   </td><td> 0    </td><td> 0    </td><td> 94   </td><td> 0    </td><td>14    </td><td> 4    </td><td> 30   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>fnv6  </td><td> 72   </td><td> 22   </td><td>10    </td><td> 0    </td><td> 75   </td><td> 0    </td><td>16    </td><td> 0    </td><td> 23   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>fnv8  </td><td> 36   </td><td>108   </td><td> 7    </td><td> 0    </td><td> 63   </td><td>50    </td><td> 0    </td><td>35    </td><td>  0   </td><td> 0    </td><td> 55   </td></tr>\n",
       "\t<tr><td>fnv9  </td><td> 14   </td><td> 98   </td><td> 6    </td><td> 0    </td><td> 72   </td><td> 8    </td><td> 7    </td><td>23    </td><td>  0   </td><td> 0    </td><td> 77   </td></tr>\n",
       "\t<tr><td>mod 1 </td><td>113   </td><td> 55   </td><td> 0    </td><td>54    </td><td>  0   </td><td>15    </td><td> 9    </td><td> 0    </td><td> 98   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>mod 2 </td><td> 37   </td><td>120   </td><td> 7    </td><td>43    </td><td>  0   </td><td>10    </td><td> 0    </td><td>27    </td><td> 24   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>mod 3 </td><td>112   </td><td> 22   </td><td>24    </td><td>71    </td><td> 96   </td><td>12    </td><td>17    </td><td> 0    </td><td> 62   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>mod 4 </td><td> 16   </td><td>  0   </td><td> 0    </td><td> 5    </td><td>127   </td><td> 0    </td><td> 0    </td><td> 0    </td><td>  0   </td><td> 5    </td><td>  0   </td></tr>\n",
       "\t<tr><td>mod 5 </td><td> 52   </td><td> 96   </td><td>10    </td><td>49    </td><td>  0   </td><td> 9    </td><td> 0    </td><td>27    </td><td> 53   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>mod 6 </td><td> 57   </td><td>105   </td><td> 6    </td><td>60    </td><td>  0   </td><td> 6    </td><td> 0    </td><td>20    </td><td> 36   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>mod 7 </td><td> 37   </td><td>  0   </td><td> 0    </td><td>38    </td><td>124   </td><td> 0    </td><td>16    </td><td> 0    </td><td>  0   </td><td> 0    </td><td> 25   </td></tr>\n",
       "\t<tr><td>mod 8 </td><td>105   </td><td>  0   </td><td> 0    </td><td>20    </td><td>100   </td><td>20    </td><td>20    </td><td> 0    </td><td> 32   </td><td> 0    </td><td>  0   </td></tr>\n",
       "\t<tr><td>mod 9 </td><td> 11   </td><td>  0   </td><td> 3    </td><td> 0    </td><td> 54   </td><td> 0    </td><td> 3    </td><td> 4    </td><td>  0   </td><td> 0    </td><td>  3   </td></tr>\n",
       "\t<tr><td>ser 1 </td><td> 89   </td><td> 38   </td><td> 9    </td><td>12    </td><td> 79   </td><td> 0    </td><td>12    </td><td>28    </td><td>  0   </td><td> 0    </td><td> 70   </td></tr>\n",
       "\t<tr><td>ser 2 </td><td> 97   </td><td> 18   </td><td>14    </td><td> 8    </td><td> 60   </td><td> 0    </td><td>18    </td><td> 7    </td><td>  0   </td><td>36    </td><td> 50   </td></tr>\n",
       "\t<tr><td>ser 3 </td><td> 90   </td><td> 46   </td><td>10    </td><td> 6    </td><td> 90   </td><td> 0    </td><td>19    </td><td>19    </td><td> 45   </td><td>35    </td><td>  0   </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllllllll}\n",
       " Sample & Quartz & Augite & Haematite & Gehlenite & Calcite & Analcime & Muscovite & Dolomite & Anorthoclase & Sanidine & Albite\\\\\n",
       "\\hline\n",
       "\t se 1  &  58   &  70   & 14    &  0    &   0   & 10    & 34    & 36    & 105   &   0   &   0  \\\\\n",
       "\t se 2  &  16   &  83   &  5    &  0    &  43   &  9    &  0    & 23    &   0   &   0   &  66  \\\\\n",
       "\t se 4  &  89   &  36   & 17    & 36    &  70   &  0    &  7    & 14    &   0   &  55   &  61  \\\\\n",
       "\t se 5  &  42   &  94   &  8    &  0    &   0   &  0    & 10    & 40    &   0   &  65   &  55  \\\\\n",
       "\t se 7  &  20   & 102   &  9    &  0    &   0   & 15    & 10    & 30    &  85   &  25   &   0  \\\\\n",
       "\t se 8  &  50   &  14   & 10    & 20    &  75   &  0    & 10    &  0    &  56   &   0   &   0  \\\\\n",
       "\t se 10 &  50   &  60   & 16    & 20    &   0   &  0    & 42    & 48    &   0   &  50   &  45  \\\\\n",
       "\t se 13 &  87   &  25   & 24    & 30    &  55   & 19    & 14    & 13    &  56   &   0   &   0  \\\\\n",
       "\t se 14 &  32   & 104   &  9    &  3    &   0   & 20    & 10    & 40    &  85   &   0   &   0  \\\\\n",
       "\t se 14 &  38   & 106   & 12    &  0    &   5   & 17    & 15    & 47    &   0   &  60   &  65  \\\\\n",
       "\t se 16 &  86   &  28   & 14    & 50    &  86   & 25    & 26    & 22    & 103   &   0   &   0  \\\\\n",
       "\t se 18 &  38   &  71   & 17    &  0    &  32   &  0    &  3    & 28    &  95   &   0   &   0  \\\\\n",
       "\t se 19 &  38   &  92   &  9    &  0    &  50   &  0    &  0    & 30    &   0   &   0   & 100  \\\\\n",
       "\t se 20 & 106   &  41   & 23    & 23    &  32   & 16    &  0    & 24    &  96   &   0   &   0  \\\\\n",
       "\t se 21 &  23   & 100   &  7    &  0    &   0   &  0    & 11    & 34    &   0   & 105   &   0  \\\\\n",
       "\t se 22 &  36   & 106   &  6    & 40    &   0   &  7    & 42    &  0    &  72   &   0   &   0  \\\\\n",
       "\t se 23 &  26   &   0   &  3    &  0    & 124   &  0    & 12    &  0    &   0   &   0   &  12  \\\\\n",
       "\t se 26 &  68   &  33   &  8    & 18    &   0   & 24    &  0    & 23    &  70   &   0   &   0  \\\\\n",
       "\t se 27 &  45   &  93   & 17    &  0    &  32   &  0    &  3    & 40    &   0   &   0   &  75  \\\\\n",
       "\t se 28 &  76   &  44   & 14    & 33    &  66   & 14    &  6    &  0    &  65   &   0   &   0  \\\\\n",
       "\t se 29 &  21   &  95   &  8    &  7    &  95   &  0    &  7    & 32    &   0   &  50   &  60  \\\\\n",
       "\t se 30 &  82   &  44   & 12    &  6    &   0   &  0    &  6    & 17    &   0   &  35   &   0  \\\\\n",
       "\t se 36 &  52   &  90   &  8    &  0    &  43   &  0    &  0    & 39    &  95   &   0   &   0  \\\\\n",
       "\t se 37 &  97   &  48   & 24    & 33    &  12   & 22    & 24    & 20    &  95   &   0   &   0  \\\\\n",
       "\t se 42 &  56   & 105   & 11    &  0    &   0   & 17    &  0    & 40    &   0   & 114   &  90  \\\\\n",
       "\t se 45 &  29   &  92   & 10    &  0    &   0   &  0    &  5    & 31    &  55   &   0   &   0  \\\\\n",
       "\t se 47 &  47   & 110   & 11    &  0    &   0   & 20    &  0    & 40    &   0   &  88   &  96  \\\\\n",
       "\t se 48 &  41   &  16   &  7    &  7    &  80   &  0    &  8    & 12    &   0   &  30   &  35  \\\\\n",
       "\t se 50 &  88   &  22   & 12    & 17    &   0   & 14    & 17    &  0    &   0   &  50   &  50  \\\\\n",
       "\t se 51 &  40   & 110   &  8    &  0    &  10   & 15    & 10    & 42    &  84   &   0   &  88  \\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t se 168 & 117    &  85    & 18     & 60     &  10    & 25     & 22     & 21     & 100    &  0     &   0   \\\\\n",
       "\t se 170 &  33    &  23    & 31     &  0     &  11    &  0     &  0     & 12     &   0    &  0     & 117   \\\\\n",
       "\t se 171 &  63    &  26    & 13     & 46     & 100    & 13     & 15     &  0     &  25    &  0     &  70   \\\\\n",
       "\t se 172 & 107    &  45    & 31     &  0     &   0    &  0     &  0     & 16     &  76    &  0     & 103   \\\\\n",
       "\t se 174 &  30    &  29    & 34     &  0     &   0    &  0     & 11     &  0     &   0    &  0     & 109   \\\\\n",
       "\t se 176 &  33    &  55    &  7     &  2     &  14    &  0     &  0     & 10     &   0    & 30     &  85   \\\\\n",
       "\t se 177 &  65    &  36    & 10     & 13     &  74    &  0     &  0     & 10     &   0    & 35     &  70   \\\\\n",
       "\t fal 1  & 105    &   0    & 10     & 60     &  30    & 26     & 33     &  0     &  90    &  0     &   0   \\\\\n",
       "\t fal 2  &  28    &  63    &  0     &  6     & 120    & 36     &  0     & 24     &  66    &  0     &   0   \\\\\n",
       "\t fal 3  &  92    &  54    & 20     & 90     &  76    & 20     &  9     &  0     &  85    &  0     &   0   \\\\\n",
       "\t fnv13  &  43    &  87    &  7     & 30     &  60    & 15     &  0     &  0     &  42    &  0     &  60   \\\\\n",
       "\t fnv14  &  92    &  91    & 13     &  0     & 110    &  9     &  0     & 32     &  70    &  0     &   0   \\\\\n",
       "\t fnv15  &  76    &  25    & 20     &  0     & 100    & 16     &  0     &  0     &  24    &  0     &   0   \\\\\n",
       "\t fnv4   &  64    &  25    &  6     &  0     &  72    &  0     &  9     &  3     &   0    &  0     &  27   \\\\\n",
       "\t fnv5   &  52    &   0    &  0     &  0     &  94    &  0     & 14     &  4     &  30    &  0     &   0   \\\\\n",
       "\t fnv6   &  72    &  22    & 10     &  0     &  75    &  0     & 16     &  0     &  23    &  0     &   0   \\\\\n",
       "\t fnv8   &  36    & 108    &  7     &  0     &  63    & 50     &  0     & 35     &   0    &  0     &  55   \\\\\n",
       "\t fnv9   &  14    &  98    &  6     &  0     &  72    &  8     &  7     & 23     &   0    &  0     &  77   \\\\\n",
       "\t mod 1  & 113    &  55    &  0     & 54     &   0    & 15     &  9     &  0     &  98    &  0     &   0   \\\\\n",
       "\t mod 2  &  37    & 120    &  7     & 43     &   0    & 10     &  0     & 27     &  24    &  0     &   0   \\\\\n",
       "\t mod 3  & 112    &  22    & 24     & 71     &  96    & 12     & 17     &  0     &  62    &  0     &   0   \\\\\n",
       "\t mod 4  &  16    &   0    &  0     &  5     & 127    &  0     &  0     &  0     &   0    &  5     &   0   \\\\\n",
       "\t mod 5  &  52    &  96    & 10     & 49     &   0    &  9     &  0     & 27     &  53    &  0     &   0   \\\\\n",
       "\t mod 6  &  57    & 105    &  6     & 60     &   0    &  6     &  0     & 20     &  36    &  0     &   0   \\\\\n",
       "\t mod 7  &  37    &   0    &  0     & 38     & 124    &  0     & 16     &  0     &   0    &  0     &  25   \\\\\n",
       "\t mod 8  & 105    &   0    &  0     & 20     & 100    & 20     & 20     &  0     &  32    &  0     &   0   \\\\\n",
       "\t mod 9  &  11    &   0    &  3     &  0     &  54    &  0     &  3     &  4     &   0    &  0     &   3   \\\\\n",
       "\t ser 1  &  89    &  38    &  9     & 12     &  79    &  0     & 12     & 28     &   0    &  0     &  70   \\\\\n",
       "\t ser 2  &  97    &  18    & 14     &  8     &  60    &  0     & 18     &  7     &   0    & 36     &  50   \\\\\n",
       "\t ser 3  &  90    &  46    & 10     &  6     &  90    &  0     & 19     & 19     &  45    & 35     &   0   \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Sample | Quartz | Augite | Haematite | Gehlenite | Calcite | Analcime | Muscovite | Dolomite | Anorthoclase | Sanidine | Albite | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| se 1  |  58   |  70   | 14    |  0    |   0   | 10    | 34    | 36    | 105   |   0   |   0   | \n",
       "| se 2  |  16   |  83   |  5    |  0    |  43   |  9    |  0    | 23    |   0   |   0   |  66   | \n",
       "| se 4  |  89   |  36   | 17    | 36    |  70   |  0    |  7    | 14    |   0   |  55   |  61   | \n",
       "| se 5  |  42   |  94   |  8    |  0    |   0   |  0    | 10    | 40    |   0   |  65   |  55   | \n",
       "| se 7  |  20   | 102   |  9    |  0    |   0   | 15    | 10    | 30    |  85   |  25   |   0   | \n",
       "| se 8  |  50   |  14   | 10    | 20    |  75   |  0    | 10    |  0    |  56   |   0   |   0   | \n",
       "| se 10 |  50   |  60   | 16    | 20    |   0   |  0    | 42    | 48    |   0   |  50   |  45   | \n",
       "| se 13 |  87   |  25   | 24    | 30    |  55   | 19    | 14    | 13    |  56   |   0   |   0   | \n",
       "| se 14 |  32   | 104   |  9    |  3    |   0   | 20    | 10    | 40    |  85   |   0   |   0   | \n",
       "| se 14 |  38   | 106   | 12    |  0    |   5   | 17    | 15    | 47    |   0   |  60   |  65   | \n",
       "| se 16 |  86   |  28   | 14    | 50    |  86   | 25    | 26    | 22    | 103   |   0   |   0   | \n",
       "| se 18 |  38   |  71   | 17    |  0    |  32   |  0    |  3    | 28    |  95   |   0   |   0   | \n",
       "| se 19 |  38   |  92   |  9    |  0    |  50   |  0    |  0    | 30    |   0   |   0   | 100   | \n",
       "| se 20 | 106   |  41   | 23    | 23    |  32   | 16    |  0    | 24    |  96   |   0   |   0   | \n",
       "| se 21 |  23   | 100   |  7    |  0    |   0   |  0    | 11    | 34    |   0   | 105   |   0   | \n",
       "| se 22 |  36   | 106   |  6    | 40    |   0   |  7    | 42    |  0    |  72   |   0   |   0   | \n",
       "| se 23 |  26   |   0   |  3    |  0    | 124   |  0    | 12    |  0    |   0   |   0   |  12   | \n",
       "| se 26 |  68   |  33   |  8    | 18    |   0   | 24    |  0    | 23    |  70   |   0   |   0   | \n",
       "| se 27 |  45   |  93   | 17    |  0    |  32   |  0    |  3    | 40    |   0   |   0   |  75   | \n",
       "| se 28 |  76   |  44   | 14    | 33    |  66   | 14    |  6    |  0    |  65   |   0   |   0   | \n",
       "| se 29 |  21   |  95   |  8    |  7    |  95   |  0    |  7    | 32    |   0   |  50   |  60   | \n",
       "| se 30 |  82   |  44   | 12    |  6    |   0   |  0    |  6    | 17    |   0   |  35   |   0   | \n",
       "| se 36 |  52   |  90   |  8    |  0    |  43   |  0    |  0    | 39    |  95   |   0   |   0   | \n",
       "| se 37 |  97   |  48   | 24    | 33    |  12   | 22    | 24    | 20    |  95   |   0   |   0   | \n",
       "| se 42 |  56   | 105   | 11    |  0    |   0   | 17    |  0    | 40    |   0   | 114   |  90   | \n",
       "| se 45 |  29   |  92   | 10    |  0    |   0   |  0    |  5    | 31    |  55   |   0   |   0   | \n",
       "| se 47 |  47   | 110   | 11    |  0    |   0   | 20    |  0    | 40    |   0   |  88   |  96   | \n",
       "| se 48 |  41   |  16   |  7    |  7    |  80   |  0    |  8    | 12    |   0   |  30   |  35   | \n",
       "| se 50 |  88   |  22   | 12    | 17    |   0   | 14    | 17    |  0    |   0   |  50   |  50   | \n",
       "| se 51 |  40   | 110   |  8    |  0    |  10   | 15    | 10    | 42    |  84   |   0   |  88   | \n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | \n",
       "| se 168 | 117    |  85    | 18     | 60     |  10    | 25     | 22     | 21     | 100    |  0     |   0    | \n",
       "| se 170 |  33    |  23    | 31     |  0     |  11    |  0     |  0     | 12     |   0    |  0     | 117    | \n",
       "| se 171 |  63    |  26    | 13     | 46     | 100    | 13     | 15     |  0     |  25    |  0     |  70    | \n",
       "| se 172 | 107    |  45    | 31     |  0     |   0    |  0     |  0     | 16     |  76    |  0     | 103    | \n",
       "| se 174 |  30    |  29    | 34     |  0     |   0    |  0     | 11     |  0     |   0    |  0     | 109    | \n",
       "| se 176 |  33    |  55    |  7     |  2     |  14    |  0     |  0     | 10     |   0    | 30     |  85    | \n",
       "| se 177 |  65    |  36    | 10     | 13     |  74    |  0     |  0     | 10     |   0    | 35     |  70    | \n",
       "| fal 1  | 105    |   0    | 10     | 60     |  30    | 26     | 33     |  0     |  90    |  0     |   0    | \n",
       "| fal 2  |  28    |  63    |  0     |  6     | 120    | 36     |  0     | 24     |  66    |  0     |   0    | \n",
       "| fal 3  |  92    |  54    | 20     | 90     |  76    | 20     |  9     |  0     |  85    |  0     |   0    | \n",
       "| fnv13  |  43    |  87    |  7     | 30     |  60    | 15     |  0     |  0     |  42    |  0     |  60    | \n",
       "| fnv14  |  92    |  91    | 13     |  0     | 110    |  9     |  0     | 32     |  70    |  0     |   0    | \n",
       "| fnv15  |  76    |  25    | 20     |  0     | 100    | 16     |  0     |  0     |  24    |  0     |   0    | \n",
       "| fnv4   |  64    |  25    |  6     |  0     |  72    |  0     |  9     |  3     |   0    |  0     |  27    | \n",
       "| fnv5   |  52    |   0    |  0     |  0     |  94    |  0     | 14     |  4     |  30    |  0     |   0    | \n",
       "| fnv6   |  72    |  22    | 10     |  0     |  75    |  0     | 16     |  0     |  23    |  0     |   0    | \n",
       "| fnv8   |  36    | 108    |  7     |  0     |  63    | 50     |  0     | 35     |   0    |  0     |  55    | \n",
       "| fnv9   |  14    |  98    |  6     |  0     |  72    |  8     |  7     | 23     |   0    |  0     |  77    | \n",
       "| mod 1  | 113    |  55    |  0     | 54     |   0    | 15     |  9     |  0     |  98    |  0     |   0    | \n",
       "| mod 2  |  37    | 120    |  7     | 43     |   0    | 10     |  0     | 27     |  24    |  0     |   0    | \n",
       "| mod 3  | 112    |  22    | 24     | 71     |  96    | 12     | 17     |  0     |  62    |  0     |   0    | \n",
       "| mod 4  |  16    |   0    |  0     |  5     | 127    |  0     |  0     |  0     |   0    |  5     |   0    | \n",
       "| mod 5  |  52    |  96    | 10     | 49     |   0    |  9     |  0     | 27     |  53    |  0     |   0    | \n",
       "| mod 6  |  57    | 105    |  6     | 60     |   0    |  6     |  0     | 20     |  36    |  0     |   0    | \n",
       "| mod 7  |  37    |   0    |  0     | 38     | 124    |  0     | 16     |  0     |   0    |  0     |  25    | \n",
       "| mod 8  | 105    |   0    |  0     | 20     | 100    | 20     | 20     |  0     |  32    |  0     |   0    | \n",
       "| mod 9  |  11    |   0    |  3     |  0     |  54    |  0     |  3     |  4     |   0    |  0     |   3    | \n",
       "| ser 1  |  89    |  38    |  9     | 12     |  79    |  0     | 12     | 28     |   0    |  0     |  70    | \n",
       "| ser 2  |  97    |  18    | 14     |  8     |  60    |  0     | 18     |  7     |   0    | 36     |  50    | \n",
       "| ser 3  |  90    |  46    | 10     |  6     |  90    |  0     | 19     | 19     |  45    | 35     |   0    | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   Sample Quartz Augite Haematite Gehlenite Calcite Analcime Muscovite Dolomite\n",
       "1  se 1    58     70    14         0          0     10       34        36      \n",
       "2  se 2    16     83     5         0         43      9        0        23      \n",
       "3  se 4    89     36    17        36         70      0        7        14      \n",
       "4  se 5    42     94     8         0          0      0       10        40      \n",
       "5  se 7    20    102     9         0          0     15       10        30      \n",
       "6  se 8    50     14    10        20         75      0       10         0      \n",
       "7  se 10   50     60    16        20          0      0       42        48      \n",
       "8  se 13   87     25    24        30         55     19       14        13      \n",
       "9  se 14   32    104     9         3          0     20       10        40      \n",
       "10 se 14   38    106    12         0          5     17       15        47      \n",
       "11 se 16   86     28    14        50         86     25       26        22      \n",
       "12 se 18   38     71    17         0         32      0        3        28      \n",
       "13 se 19   38     92     9         0         50      0        0        30      \n",
       "14 se 20  106     41    23        23         32     16        0        24      \n",
       "15 se 21   23    100     7         0          0      0       11        34      \n",
       "16 se 22   36    106     6        40          0      7       42         0      \n",
       "17 se 23   26      0     3         0        124      0       12         0      \n",
       "18 se 26   68     33     8        18          0     24        0        23      \n",
       "19 se 27   45     93    17         0         32      0        3        40      \n",
       "20 se 28   76     44    14        33         66     14        6         0      \n",
       "21 se 29   21     95     8         7         95      0        7        32      \n",
       "22 se 30   82     44    12         6          0      0        6        17      \n",
       "23 se 36   52     90     8         0         43      0        0        39      \n",
       "24 se 37   97     48    24        33         12     22       24        20      \n",
       "25 se 42   56    105    11         0          0     17        0        40      \n",
       "26 se 45   29     92    10         0          0      0        5        31      \n",
       "27 se 47   47    110    11         0          0     20        0        40      \n",
       "28 se 48   41     16     7         7         80      0        8        12      \n",
       "29 se 50   88     22    12        17          0     14       17         0      \n",
       "30 se 51   40    110     8         0         10     15       10        42      \n",
       "⋮  ⋮      ⋮      ⋮      ⋮         ⋮         ⋮       ⋮        ⋮         ⋮       \n",
       "67 se 168 117     85    18        60         10     25       22        21      \n",
       "68 se 170  33     23    31         0         11      0        0        12      \n",
       "69 se 171  63     26    13        46        100     13       15         0      \n",
       "70 se 172 107     45    31         0          0      0        0        16      \n",
       "71 se 174  30     29    34         0          0      0       11         0      \n",
       "72 se 176  33     55     7         2         14      0        0        10      \n",
       "73 se 177  65     36    10        13         74      0        0        10      \n",
       "74 fal 1  105      0    10        60         30     26       33         0      \n",
       "75 fal 2   28     63     0         6        120     36        0        24      \n",
       "76 fal 3   92     54    20        90         76     20        9         0      \n",
       "77 fnv13   43     87     7        30         60     15        0         0      \n",
       "78 fnv14   92     91    13         0        110      9        0        32      \n",
       "79 fnv15   76     25    20         0        100     16        0         0      \n",
       "80 fnv4    64     25     6         0         72      0        9         3      \n",
       "81 fnv5    52      0     0         0         94      0       14         4      \n",
       "82 fnv6    72     22    10         0         75      0       16         0      \n",
       "83 fnv8    36    108     7         0         63     50        0        35      \n",
       "84 fnv9    14     98     6         0         72      8        7        23      \n",
       "85 mod 1  113     55     0        54          0     15        9         0      \n",
       "86 mod 2   37    120     7        43          0     10        0        27      \n",
       "87 mod 3  112     22    24        71         96     12       17         0      \n",
       "88 mod 4   16      0     0         5        127      0        0         0      \n",
       "89 mod 5   52     96    10        49          0      9        0        27      \n",
       "90 mod 6   57    105     6        60          0      6        0        20      \n",
       "91 mod 7   37      0     0        38        124      0       16         0      \n",
       "92 mod 8  105      0     0        20        100     20       20         0      \n",
       "93 mod 9   11      0     3         0         54      0        3         4      \n",
       "94 ser 1   89     38     9        12         79      0       12        28      \n",
       "95 ser 2   97     18    14         8         60      0       18         7      \n",
       "96 ser 3   90     46    10         6         90      0       19        19      \n",
       "   Anorthoclase Sanidine Albite\n",
       "1  105            0        0   \n",
       "2    0            0       66   \n",
       "3    0           55       61   \n",
       "4    0           65       55   \n",
       "5   85           25        0   \n",
       "6   56            0        0   \n",
       "7    0           50       45   \n",
       "8   56            0        0   \n",
       "9   85            0        0   \n",
       "10   0           60       65   \n",
       "11 103            0        0   \n",
       "12  95            0        0   \n",
       "13   0            0      100   \n",
       "14  96            0        0   \n",
       "15   0          105        0   \n",
       "16  72            0        0   \n",
       "17   0            0       12   \n",
       "18  70            0        0   \n",
       "19   0            0       75   \n",
       "20  65            0        0   \n",
       "21   0           50       60   \n",
       "22   0           35        0   \n",
       "23  95            0        0   \n",
       "24  95            0        0   \n",
       "25   0          114       90   \n",
       "26  55            0        0   \n",
       "27   0           88       96   \n",
       "28   0           30       35   \n",
       "29   0           50       50   \n",
       "30  84            0       88   \n",
       "⋮  ⋮            ⋮        ⋮     \n",
       "67 100           0         0   \n",
       "68   0           0       117   \n",
       "69  25           0        70   \n",
       "70  76           0       103   \n",
       "71   0           0       109   \n",
       "72   0          30        85   \n",
       "73   0          35        70   \n",
       "74  90           0         0   \n",
       "75  66           0         0   \n",
       "76  85           0         0   \n",
       "77  42           0        60   \n",
       "78  70           0         0   \n",
       "79  24           0         0   \n",
       "80   0           0        27   \n",
       "81  30           0         0   \n",
       "82  23           0         0   \n",
       "83   0           0        55   \n",
       "84   0           0        77   \n",
       "85  98           0         0   \n",
       "86  24           0         0   \n",
       "87  62           0         0   \n",
       "88   0           5         0   \n",
       "89  53           0         0   \n",
       "90  36           0         0   \n",
       "91   0           0        25   \n",
       "92  32           0         0   \n",
       "93   0           0         3   \n",
       "94   0           0        70   \n",
       "95   0          36        50   \n",
       "96  45          35         0   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "BSR_XRF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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L8/DpU+lO6WHGHC5iTgm57oxmfOPe1b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\nkIAEJCABCUhAAhKQgAQkIIEmIPD/ASDMc/b+eSImAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "BSR.pca <- prcomp(BSR_XRF[, -1], scale.=TRUE)\n",
    "biplot(BSR.pca, xlabs=abbreviate(BSR_XRF$Sample, 1), cex=.75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}