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Statistical Packages: R Studio
Different statistical analysis packages available at Edinburgh Napier University
R is an open source programming language and for statistical computing and graphics that consists of a command line interface, while R Studio is an integrated development environment used to programme in the R language. If you're new to R and R Studio, it's best to learn a little bit about the R language first, before moving on to programming in R Studio.
This is a free online course offered by Datacamp. The course covers the basics of factors, lists and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis.
This online course from Code School consists of interactive lessons that will get you writing real code in minutes. It is a great place to make mistakes and test out new skills. You are told immediately when you go wrong and given a chance to fix your code.
These manuals for R were created on Debian Linux and may differ from the manuals for Mac or Windows on platform-specific pages, but most parts will be identical for all platforms. You can download them as PDF files, EPUB files, or directly browse as HTML.
These webinars cover packages, and products that integrate with R Studio. The webinars are organised into 'learning tracks' to help you learn more effectively. The data packages used in examples are also available to download from Github.
The R Journal is the open access, refereed journal of the R project for statistical computing. It features short to medium length articles covering topics that might be of interest to users or developers of R.
This is the companion website for “Advanced R”, a book in Chapman & Hall’s R Series. The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as it explains some of R’s quirks and shows how some parts that seem horrible do have a positive side.
The R-Ladies community is designed to develop our members' R skills & knowledge through social, collaborative learning & sharing. Supporting minority identity access to STEM skills & careers, the Free Software Movement, and contributing to the global R community.