{"id":3166,"date":"2017-06-19T17:15:21","date_gmt":"2017-06-19T17:15:21","guid":{"rendered":"https:\/\/blogs.swarthmore.edu\/its\/?p=3166"},"modified":"2017-06-19T17:54:31","modified_gmt":"2017-06-19T17:54:31","slug":"r-r-studio-and-datacamp","status":"publish","type":"post","link":"https:\/\/blogs.swarthmore.edu\/its\/2017\/06\/19\/r-r-studio-and-datacamp\/","title":{"rendered":"R, R Studio and DataCamp"},"content":{"rendered":"

Learning Together<\/strong><\/h1>\n

On June 6th & 7th\u00a0group of ten faculty, five staff and five student research assistants all participated together in a two-day workshop on \u201cR<\/strong>.\u201d \u00a0R<\/strong> is an open source integrated suite of software facilities for data manipulation, calculation and graphical display that is fast becoming the data analysis toolkit of choice across a number of disciplines, and has become the foundational data analysis software taught here at Swarthmore in introductory statistics classes. We had a lot of fun in a collegial environment in which Visiting Assistant Professor Lu Chen took us in a very organized way through the basics of the R<\/strong> environment using both the desktop and online versions of R Studio<\/strong>, which is an excellent but not necessary way to work with R<\/strong>. <\/span><\/p>\n

\"R<\/a>R Studio <\/strong><\/h1>\n
\"R
R Studio Workbench<\/figcaption><\/figure>\n

RStudio provides a graphical interface, with a very flexible windowing system to manage your work in R<\/strong>, preserve code, data files and output. You can use R<\/strong> simply at the command line, and many of our most experienced R<\/strong> users will take that approach. Since Swarthmore has a license for R Studio Server<\/strong>, run on an Amazon Web Services instance, it\u2019s a great way to make sure your students are all on the same version and have access to the same tools for teaching data analysis using R<\/strong>, and it\u2019s a very consistent interface with the desktop version, which can be installed locally on your machine. Using the R Studio Server<\/strong> allows you to provide students with both a consistent version as well as the ability to provide them all with the same files and data sources. (<\/span>http:\/\/rstudio.swarthmore.edu<\/span><\/a> is the address, but please talk to one of your friendly Academic Technologists to get set up with an account, if you\u2019d like to check it out!)<\/span><\/p>\n

\"R<\/a>
R Studio graph example (Rena Chen, Nov 2, 2015) https:\/\/rstudio-pubs-static.s3.amazonaws.com\/123139_f3559c860bf74fd0bd13b5396ce8bcf0.html#\/<\/figcaption><\/figure>\n

On the second day of the workshop, we really\u00a0got into more advanced data recoding, dealing with missing values and using the ggplot<\/strong> package to create very good looking graphic displays of information, which is a real strength in\u00a0R<\/strong>, and is something that has brought over a significant number of folks who might not otherwise have been interested.\u00a0\u00a0<\/span><\/p>\n

\"R<\/a>
R Studio map of data example (https:\/\/nrelscience.org\/2013\/05\/30\/this-is-how-i-did-it-mapping-in-r-with-ggplot2\/)<\/figcaption><\/figure>\n

DataCamp\"DataCamp<\/a><\/strong><\/h1>\n

We\u2019re also pleased to announce that we\u2019ve acquired a number of seats for DataCamp<\/strong> (http:\/\/www.datacamp.com), which is an online learning platform for folks who\u2019d like to get better with Data Science and Analysis using R<\/strong> and Python. The DataCamp<\/strong> material is primarily for R<\/strong> and Python development, and their courses are presented in a very coherent, clean, easily accessible environment that can help individuals develop their skills from the comfort of their own browser! \u00a0Please contact Doug Willen (<\/span>willen@swarthmore.edu<\/span><\/a>, x-7787) for more information on DataCamp<\/strong>, or to get started with a course.<\/span><\/p>\n

What is \u201cR\u201d ?<\/h1>\n

\"R<\/a>(From the R Foundation \u00a0<\/span>https:\/\/www.r-project.org\/about.html<\/span><\/a>):<\/span><\/p>\n

R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes:<\/span><\/p>\n