Software Resources for R

Below is a list of resource pages for using R to do statistics. On each page a set of data are explored with the software. Some commentary is given on interpretation but the main focus is on getting the software to do the work. What the numbers mean should come from your prior statistical training or the statistics.com course you are currently taking. Each page listed below has a title you can click on to read the page. Beneath the title is a list of topics covered on that page.

Getting Started

Entering data
Simple summary statistics
Stem and leaf plots
Histograms
Boxplots
Dotplots
Logarithmic transformations
Saving your data

Summarizing Quantitative Data

Simple summary statistics
Boxplots comparing two groups
Transformations

Summarizing a Single Categorical Variable

Mode
Tables
Bar charts
Pie charts

Making and Interpreting Tables for Two Categorical Variables

One- and Two-Way Tables
Probability and two-way tables

Regression with Two Independent Variables

Reading data from a text file
Correlations
Regression with one or two independent variables
Brief discussion of multicollinearity and autocorrelation
Basic residual plots

One-way Analysis Variance

Reading text data files into R
Stacking data
Boxplots comparing multiple groups
ANOVA

Two-way Analysis Variance

Finding subgroup means
Fitting an additive model
Checking for interaction