TUTORIALS ARE ORGANIZED BY SOFTWARE.
Access these pages either with the menu at right, or by browsing below.
Each page will provide tutorial materials in various formats.
See resources for class materials, workshops offerings and free books on this post: R courses and tutorials. Classic, Tidyverse, Data Wrangling, ggplot2
Scroll below to see a list of other R/RStudio/Tidyverse tutorials
R Tutorials - Basics
Background This series of tutorials are about learning the R software itself. Other tutorials will make use of R within the RStudio platform along with other concepts such as makrdown and Reproducible Research or bioconductor. …
R - Biological Magnetic Resonance Data Bank
Background Guest lecture presented by package author and guest speaker Dr Kumaran Baskaran, Biochemistry, UW Madison. Hands-on workshop on R package RBRMB to access NMR chemical shift database BRMB. The BioMagResBank (BMRB: www.bmrb.wisc.edu ) is a repository for experimental and derived data gathered from nuclear magnetic resonance (NMR) spectroscopic studies of biological molecules. BMRB is is a partner in the Worldwide Protein Data Bank (wwPDB).…
Background RStudio makes R easier to use through a graphical interface, makrdown and RMarkdown for Reproducible Research and Dynamic Documents for R. Tutorials…
Background Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. Bioconductor has two releases each year which corresponds to the released version of R, and an active user community. The following tutorials can optionally be used within the…
Tabular data analysis with R and Tidyverse
The material is suited for beginners. At the end of the course you’ll have acquired sufficient proficiency and independence to use the software R within the RStudio graphical interface to analyze complex environmental datasets in tabular form and create useful and reproducible reports with annotated graphics. In addition this course provides a guide for both "classic R" and the newer "Tidyverse" methods of analysis. Students also explore creating "dynamic documents" with "markdown" in "literate programming" philosophy that is now recognized as a useful step forward towards "reproducible research."