from RStudio

By Nicolás E. Campione

Modified from: P. Dalgaard (2002). Introductory Statistics with R. Springer, New York. 

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from RStudio

Covers dplyr and tidyr

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Just getting started as an R user?  You can first try running R on QUBES Hub here, without installing anything.  Eventually, though you will want to install it on your own computer by downloading it here.  RStudio provides a friendlier interface for using R, and can be downloaded here.  Rstudio requires R to be installed, so start by downloading R.

This is a great source for basic R functionality like importing and manipulating data.  It also has very helpful information on making graphs (see this page).  

by Sharon Machlis
edited by Johanna Ambrosio

Computerworld

R code examples for a number of common data analysis tasks

A free online tutorial for learning basic R commands.  It runs through your browser and does not require you to install R.

These notes are an introduction to using the statistical software package R for an introductory statistics course. They are meant to accompany an introductory statistics book such as Kitchens “Exploring Statistics”. The goals are not to show all the features of R, or to replace a standard textbook, but rather to be used with a textbook to illustrate the features of R that can be learned in a one-semester, introductory statistics course.

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Last year, I presented an informal course on the basics of R Graphics University of Turku. In this blog post, I am providing some of the slides and the full code from that practical, which shows how to build different plot types using the basic (i.e. pre-installed) graphics in R

Website Supplementary Files

Chapter from "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan (Second Edition)" by John K. Kruschke

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