Revision as of 20:02, 4 June 2019 by Rstarry (updated page)
R is supported by a global community of users, with thousands of packages created and maintained by users around the world that extend the core functionality of the language.
Teaching data analysis techniques and best practices
R can be used to introduce concepts related to data analysis and visualization, including summary statistics, exploratory data analysis, data wrangling (especially with the Tidyverse package dplyr), and data visualization (especially with the Tidyverse package ggplot2).
As R is a scripting language, it can be used to teach reproducibility in the context of analyzing and visualizing datasets of all kinds, including humanities and social sciences data.
How to use it
DESCRIPTION AND LINKS TO RESOURCES
Proprietary statistical analysis languages like STATA, SPSS, and SAS.
RELATED RESEARCH AND PUBLICATIONS
RELATED PAGES AROUND THE WEB