Resources

A sample DMC Report using publicly available clinical trial data from the Beta-Blocker Heart Attack Trial (BHAT) prepared by SDAC.

The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use […]

Introduction to Data Science: Data Analysis and Prediction Algorithms with R covers concepts from probability, statistical inference, linear regression, and machine learning.

ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered.

This is the companion website for “Hands-On Programming with R” by Garrett Grolemund.

A free interactive multimedia course of study in statistics

This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers […]

This cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s…

This book written by the developers of R Markdown includes short, practical examples that address the most common issues users encounter as well as wide ranging tips and tricks that […]

R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem…

A report using simulated trial data. Report content and layout has been modeled based on cardiovascular trials.

A book about trouble spots, oddities, traps, glitches in R.

An introductory e-book to the R programming language to help you learn R from the ground-up.