https://github.com/jbryer/intror

Introduction to R
https://github.com/jbryer/intror

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Introduction to R

• Host: GitHub
• URL: https://github.com/jbryer/intror
• Owner: jbryer
• Created: 2012-11-03T15:53:48.000Z (about 12 years ago)
• Default Branch: master
• Last Pushed: 2016-11-13T12:29:05.000Z (about 8 years ago)
• Last Synced: 2023-04-05T09:41:18.090Z (over 1 year ago)
• Language: HTML
• Homepage:
• Size: 28.4 MB
• Stars: 4
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Introduction to R

* Workshop at University at Albany, School of Education                   

* [Albany R Users Group](http://www.meetup.com/Albany-R-Users-Group/events/212637672/) Talk - [Slides](https://github.com/jbryer/IntroR/blob/master/Slides/Albany_useR/IntroR.pdf?raw=true)

## Introduction to R for Institutional Research

This repository contains materials for the *Introduction to R and LaTeX for Instititonal Research* workshop taught at the [Northeast Association for Institutional Research](http://www.neair.org) conferences.

[Click here to download the slides](https://htmlpreview.github.io/?https://github.com/jbryer/IntroR/blob/master/Slides/NEAIR%202016/IntroR.html#1)

* [2016 Conference in Baltimore, MD](http://www.neair.org/event/2016Baltimore)

* [2015 Conference in Burlington, VT](http://www.neair.org/event/2015Burlington)

* [2013 Conference in Newport, RI](http://www.neair.org/event/2013_Newport)

* [2012 Conference in Bethesda, MD](http://www.neair.org/event/2012Bethesda)

* [2011 Conference in Boston, MA](http://c.ymcdn.com/sites/www.neair.org/resource/resmgr/conf2011/2011_boston_conference_progr.pdf)

## Installation

It is recommended that you install [R](http://cran.r-project.org), [RStudio](http://rstudio.com), LaTeX ([Windows](http://miktex.org/), [Mac](http://tug.org/mactex/)), and [Pandoc](http://johnmacfarlane.net/pandoc/) prior to the conference.

* [Installation instructions](Installation/Install.md)

## Books

* [R for Data Science](http://r4ds.had.co.nz/)

* [R in Action](http://www.manning.com/kabacoff2/?a_aid=RiA2ed&a_bid=5c2b1e1d)

* [The Art of R Programming](http://r4stats.com/downloads/)

* [R for SPSS and SAS Users](https://science.nature.nps.gov/im/datamgmt/statistics/r/documents/r_for_sas_spss_users.pdf)

* [OpenIntro Statistics](https://www.openintro.org/stat/)

* [Mor Math into LaTeX](ftp://ftp.tex.ac.uk/tex-archive/info/mil/mil.pdf)

## Websites

* [R Bloggers](http://r-bloggers.com)

* [The Popularity of Data Analysis Software](http://r4stats.com/articles/popularity/)

* [Quick-R](http://statmethods.net/)

* [RStudio's Intro Slides](https://github.com/rstudio/Intro/tree/master/slides)

* [ggplot2 Documentation](http://docs.ggplot2.org/current/)

* [The R Journal](http://journal.r-project.org/)

* [Journal of Statistical Software](http://www.jstatsoft.org/)