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This is the companion website for “Advanced R”. The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as it explains some of R’s quirks and shows how some parts that seem […]
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 of document elements such as figures, tables, equations, theorems, citations, and references.
CRAN task views aim to provide some guidance to which packages on CRAN are relevant for tasks related to a certain topic. The views are intended to have a sharp focus so that it is sufficiently clear…
A collection of tools, educational materials useful for clinical and translational researchers, providing timely and useful advice on specific problems.
Introduction to Data Science: Data Analysis and Prediction Algorithms with R covers concepts from probability, statistical inference, linear regression, and machine learning.
Links to Statistical sites, computing, journals and professional organizations.
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.
Statistics help page designed by David Lane of Rice University, Department of Psychology offers variety of interactive statistical tool and resources
Free and open-source software for data science, scientific research, and technical communication on GitHub RStudio
Biostatistics lecture series videos, Survival Analysis, Techniques for Censored and Truncated data
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 with no previous…
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 expose…
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.
The video and written tutorials on this page are primarily designed for users who are new to Shiny and want a guided introduction.
QSN virtual workshop presented in October 2024 by Paula J. Caproni, PhD, University of Michigan Ross School of Business, and Ryan A. Peterson, PhD & Mary D. Sammel, ScD, University of Colorado School of Public Health, Center for Innovative Design and Analysis, Department of Biostatistics and Informatics. Short clips from the two-day workshop.
Web pages performing statistical calculations and guidance on choosing the right statistical analysis on the data
The R graph gallery is a collection of charts made with the R programming language.
A book about trouble spots, oddities, traps, glitches in R.
A rich website offering text book and data analysis examples using STATA, SAS, SPSS, MPlus and R.
These pages contain example programs and output with footnotes explaining the meaning of the output. This is to help you more effectively read the output that you obtain and be able to give…
Resources recommended during Dr. Susan Ellenberg’s lecture on September 12, 2019.
Website of Vanderbilt University Statistical Computing
An introductory e-book to the R programming language to help you learn R from the ground-up.