This document provides an overview of statistical functions and graphs available in R. It lists common distributions that can be evaluated or simulated in R, including beta, binomial, Cauchy, chi-squared, exponential, F, gamma, geometric, hypergeometric, log-normal, logistic, negative binomial, normal, Poisson, Student's t, uniform, and Weibull. It also discusses functions for calculating median, mean, variance, standard deviation, five number summary, and generating stem-and-leaf plots, histograms, density plots, bar plots, pie charts in R. Categorical data can be grouped using the cut function and summarized using table.