{ "cells": [ { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ " _ \n", "platform x86_64-pc-linux-gnu \n", "arch x86_64 \n", "os linux-gnu \n", "system x86_64, linux-gnu \n", "status \n", "major 3 \n", "minor 3.1 \n", "year 2016 \n", "month 06 \n", "day 21 \n", "svn rev 70800 \n", "language R \n", "version.string R version 3.3.1 (2016-06-21)\n", "nickname Bug in Your Hair " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "R.version" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## How do to math on the web\n", "\n", "$$\\sum_{n=1}^\\infty \\frac{1}{n^2} = \\frac{\\pi^2}{6}$$" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "'R version 3.3.1 (2016-06-21)'" ], "text/latex": [ "'R version 3.3.1 (2016-06-21)'" ], "text/markdown": [ "'R version 3.3.1 (2016-06-21)'" ], "text/plain": [ "[1] \"R version 3.3.1 (2016-06-21)\"" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "R.version.string" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "ename": "ERROR", "evalue": "Error in parse(text = x, srcfile = src): :1:1: unexpected SPECIAL\n1: %%\n ^\n", "output_type": "error", "traceback": [ "Error in parse(text = x, srcfile = src): :1:1: unexpected SPECIAL\n1: %%\n ^\nTraceback:\n" ] } ], "source": [ "%%latex\n", "\n", "\\[ y_{it} = \\alpha + \\beta d_{it} + f(x_{it} - 0.05) + d_{it} g(x_{it} - 0.05) + \\varepsilon_{it} \\]\n", "\n", "%\\[ y_{it} = \\alpha + \\beta d_{it} + \\sum_{k=1}^3 \\gamma_k^b(x_{it} - 0.05)^k + \\sum_{k=1}^3 \\gamma_k^a d_{it} (x_{it} - 0.05)^k + \\varepsilon_{it} \\]\n", "\n", "I will likely have multiple experiments from the same client, so it may make sense to add client-level fixed effects (and to cluster the errors at the client level):\n", "\n", "\\[ y_{ijt} = \\alpha_{j} + \\beta d_{ijt} + f(x_{ijt} - 0.05) + d_{ijt} g(x_{ijt} - 0.05) + \\varepsilon_{ijt} \\]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "celltoolbar": "Edit 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": "3.3.1" } }, "nbformat": 4, "nbformat_minor": 1 }