Data Analysis Tools: R
data analysis tools that Research Data Services (RDS) at Columbia University Libraries support
Learning Resources
CLIO resources for data analysis using R
- narrow down your search results by publication date, subject, etc., using the filters at the left-hand sidebar
- click the "Recently Added" in the left-hand sidebar and you will find the most recent purchases by the library
LinkedIn Learning
- CLIO portal (Columbia UNI authentication needed; only for current affiliates)
- Please search "R" in the search box
Software Carpentry tutorials for novice programmers
- Programming with R
- an introduction to R that is built around a common scientific task: data analysis
- R for Reproducible Scientific Analysis
- an introduction to R for non-programmers using gapminder data
Introduction to Data Science: Data Wrangling and Visualization with R by Rafael A Irizarry
Advanced Data Science: Statistics and Prediction Algorithms Through Case Studies by Rafael A Irizarry
- Both books are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International CC BY-NC-SA 4.0
R & RStudio Download and Installation
R and RStudio are both open-source software packages.
Getting Started with Data in R, including
- What is R & RStudio
- How to download and install
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The book Statistical Inference via Data Science: A ModernDive into R and the Tidyverse by Chester Ismay and Albert Y. Kim is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
