"Resources for R" 16 posts Sort by created date Sort by defined ordering View as a grid View as a list
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Drew LaMar onto Resources for R @ 4:37 pm on 23 Feb 2017
by Tom Short, EPRI PEAC, tshort@epri-peac.com 2004-11-07
Granted to the public domain. See www.Rpad.org for the source and latest version. Includes material from R for Beginners by Emmanuel Paradis (with permission).
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Drew LaMar onto Resources for R @ 4:26 pm on 22 Jan 2016
By Nicolás E. Campione
Modified from: P. Dalgaard (2002). Introductory Statistics with R. Springer, New York.
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Covers dplyr and tidyr
Drew LaMar onto Resources for R @ 4:40 pm on 23 Feb 2017
Drew LaMar onto Resources for R @ 4:36 pm on 22 Jan 2016
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Drew LaMar onto Resources for R @ 4:39 pm on 22 Jan 2016
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.
Drew LaMar onto Resources for R @ 4:52 pm on 22 Jan 2016
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).
Drew LaMar onto Resources for R @ 4:55 pm on 22 Jan 2016
The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.
Website
Drew LaMar onto Resources for R @ 1:23 pm on 28 Jan 2016
by Sharon Machlis edited by Johanna Ambrosio
Computerworld
Drew LaMar onto Resources for R @ 1:24 pm on 28 Jan 2016
R code examples for a number of common data analysis tasks
Drew LaMar onto Resources for R @ 1:26 pm on 28 Jan 2016
A free online tutorial for learning basic R commands. It runs through your browser and does not require you to install R.
Drew LaMar onto Resources for R @ 1:29 pm on 28 Jan 2016
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.
Drew LaMar onto Resources for R @ 7:01 am on 29 Jan 2016
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
Drew LaMar onto Resources for R @ 3:05 pm on 01 Feb 2016
Chapter from "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan (Second Edition)" by John K. Kruschke
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Drew LaMar onto Resources for R @ 1:10 pm on 25 Feb 2016
