Want to know more about how R has been gaining popularity in academia and industry? Read this article The Popularity of Data Science Software by data scientist Robert Muenchen on comparison between R and other statistical packages. R has a steep learning curve and while it may take a while to become proficient, you can learn R incrementally. R is open source - a benefit for those who don’t have the budget for proprietary programs like SPSS. How does R compare to other statistical packages?
#INSTALL R STUDIO FOR MAC INSTALL#
You can install it on every computer you use. There is also a large and enthusiastic community eager to help you out. R's Help pages include extensive documentation. (And these packages are free too!) R has robust online documentation and an active user community Packages can help you solve your specific data issues more effectively - and there are currently thousands of R packages for download, with more new packages on the way to expand what you can do with R. Packages are collections of R functions, data and code written by a very activity community of R users. R connects you to a pipeline of new packages GUI(Graphical User Interface) statistical packages offer point-and-click operations that ease your learning, but they might also blind you to underlying mechanism of your analysis.īy contrast, R gives you the opportunity to code by hand, enabling you to understand the fundamentals of operations, which in turn facilitates your future learning.
R is more hands-on and facilitates learning
Not only do you make your own work more effective and efficient, but also make your data analysis replicable and transparent to other researchers and the public. With R, it is easier to document, reuse, and reproduce all the steps of your statistical analysis, compared to other statistical packages. It's been gaining popularity rapidly across a variety of disciplines.įor a fuller description of R, see What is R? from the R Project. R is a free, open-source programming language primarily for statistics and graphics.
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