---
title: "STAT 408 <br> Statistical Computing and Graphical Analysis"
output:
  revealjs::revealjs_presentation:
    theme: white
    center: true
    transition: none
---
```{r setup, include=FALSE}
require(ggplot2)
```

## This Course:
>- Is a programming course rather than a Statistical theory course
>- Cannot teach you everything there is to know about R
>- Can teach you how to teach yourself
>- Will make you an expert in R

## Warning: Programming is Frustrating
- All statistical analysis requires the use of the computer
- Computers do exactly what we tell them to do, not what we're thinking they should do
- Lots of finicky little conventions must be memorized
- Fun part is to get it to do new and beautiful things. There is a reward in the end. Computers are fast and accurate.

## Computing Basics
- Stay organized. Create a folder for STAT 408, subfolders as needed for notes, homework, ...
- We will work with .qmd, .Rmd, .R files
- Data files: .csv, .txt
- Know where files reside
- Back up your work: onedrive (Free for MSU Students), Google Drive, Dropbox

## Programming in General
- Plan ahead "Top-Down" programming
- Programming is an iterative process
- Reproducibility - code should make sense a year from now 
- Avoid programming with graphical interfaces - or save code run in background

## R is:
- A programming environment
- A way to run stat analyses
- Built of functions and objects
- Great at making complex plots (not necessarily easy)
- A project involving work from hundreds of people
- Rapidly expanding. 

## R is not:
- A spreadsheet.
- A database.
- A place to enter data from the field directly.
- A point-and-click environment.
- A commercial product with professional support staff.