An introduction to statistics in R
A series of tutorials by Mark Peterson for working in R
Chapter Navigation
Basics of Data in R
Plotting and evaluating one categorical variable
Plotting and evaluating two categorical variables
Analyzing shape and center of one quantitative variable
Analyzing the spread of one quantitative variable
Relationships between quantitative and categorical data
Relationships between two quantitative variables
Final Thoughts on linear regression
A bit off topic - functions, grep, and colors
Sampling and Loops
Confidence Intervals
Bootstrapping
More on Bootstrapping
Hypothesis testing and p-values
Differences in proportions and statistical thresholds
Hypothesis testing for means
Final thoughts on hypothesis testing
Approximating with a distribution model
Using the normal model in practice
Approximating for a single proportion
Null distribution for a single proportion and limitations
Approximating for a single mean
CI and hypothesis tests for a single mean
Approximating a difference in proportions
Hypothesis test for a difference in proportions
Difference in means
Difference in means - Hypothesis testing and paired differences
Shortcuts
Testing categorical variables with Chi-sqare
Testing proportions in groups
Comparing the means of many groups
Linear Regression
Multiple Regression
Basic Probability
Random variables
Conditional Probability
Bayesian Analysis
R tutorials and chapters for Math 230
Above are the links to each chapter of our tutorials.