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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.
All members of the U-M community – faculty, staff, and students – are invited to join weekly virtual CoderSpaces to get support with research methodology, statistics, data science applications, and computational programming for research. CoderSpaces hosts have a wide set of methodological and technological expertise. The weekly virtual office hours provide a casual, productive and […]
Data analysis courses address methods for managing and analyzing large datasets. Start your career as a data scientist by studying data mining, big data applications, and data product development.
Data analysis courses address methods for managing and analyzing large datasets. Start your career as a data scientist by studying data mining, big data applications, and data product development.
Predictive Sports Analytics with Real Sports Data. Anticipate player and team performance using sports analytics principles.
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…
CSCAR provides individualized support and training to U-M researchers in a variety of areas relating to the management, collection and analysis of data. The team at CSCAR also offers intermittent workshops. Upcoming workshops can be found at this link.
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