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!! Getting Started !! \
!! with R !! !
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!! More with R !! !
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!! @iRe 2016, where you'll !! !
!! LEARN TO LOVE R !! /
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Data + Code for Getting started with R & More with R workshop at the IRE conference in New Orleans on Saturday, June 18th 2016
- R makes it easy to automate data cleaning and analysis tasks
- R by default leaves a trail of code that documents all the work you've done, unlike a program like Excel
- R can read extremely large data sets: Excel's row limit is 1 million rows, R's is more than 2 billion
- R has a nice user interface called RStudio, where you can write code, view data, perform analyses and even make visualizations
- R can read several types of data files - geospatial data, JSON, XML feeds, csv/txt/xlsx/xls formats. Converting between them is simple, too
- R is free and open source. The community is ever growing and extremely helpful - from local R Meetups and the annual useR conference, to online forums like StackOverflow, to #rstats on Twitter
- R: website for the R software
- RStudio: website for RStudio, a powerful graphical user interface for R
- You can clone or download this repository by clicking on the green button above, "Clone or download"
- We recommend opening the .r files in RStudio while reading the .ipynb notebooks online by clicking the Github links above
or on Twitter