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Learn R
Resources to learn and use the Open Source Statistical software R (R-Project)
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General Tutorials
General Tutorials
Statistical Analysis
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General Tutorials
General R Tutorials
Stat 545
- Course material on Data wrangling, exploration, and analysis with R [UBC]
Emphasizes workflow issues, including RMarkdown and Git.
Starts with Data but also covers function writing, make, APIs and Shiny apps.
swirl
- Learn R and statistics using R itself. Only a few courses, some old/wordy.
RYouWithMe
- Starts at the basics and goes at a slow and steady pace (R-Ladies Sydney)
The site has videos and text, or you can see the
YouTube Channel
DataCamp -
Interactive tutorials, some free like
Introduction to R
and the
YouTube
channel
Instructors can give free access
to all tutorials for their students in classs.
R for Social Scientists
Data Carpentry Workshop Materials
Starts with objects (not datasets)
Data Science for Social Scientists
by Richard Landers
Materials incorporate (and assume access to) DataCamp Courses
Includes Video (
YouTube
) and lectures
Starts with programming concepts first, including the old apply functions (often overly complicated)
R Documentation
(
Social Science Computing Cooperative
- SSCC)
Several book-like tutorials with follow-along examples and exercises
Separate sections using base R and the tidyverse.
Also covers basic regression and diagnostics.
Using R for Psychology Research
by
The Personality Project
Older, still uses the apply functions and no tidyverse or afex
Focuses on the psych package:
Getting Started with R and the psych package
Exploratory Data Analysis in R
(Colby College)
From an undergraduate environmental science course (ES218)
Starts with dplyr, and the group_by and summarize functions, which are somewhat overly complicated
Covers graphics in base, lattice, and ggplot and other options.
ANOVAs don't use the afex package
Other Online Books
ModernDive: Statistical Inference via Data Science
by Chester Ismay and Albert Y. Kim
An Introduction to using Political and Social Data Analysis using R
by Thomas M. Holbrook - Focuses on Statistics, uses Base R for data transformations.
YaRrr! The Pirate's Guide to R
by Nathaniel D. Phillips
R Programming for Data Science
by Roger D. Peng - Focused on Programming
Introduction to Programming with R
by
Digital Science Center
at
Universität Innsbruck
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