Introduction
R is a programming language and free software environment for statistical computing and graphics. R and its libraries implement various statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, spatial and time-series analysis, classification, clustering, and others.
R is easily extensible through functions and extensions, and the R community is noted for its active contributions in terms of packages
It has a command line interface and a bit of a learning curve, but once you get past that you can easily handle large datasets.
How to install?
You can download the R Programming Language from the link below
R Studio download link
Courses
You can try the following video courses to begin and further your understanding of the R
* ProTip – you can complete a few of these courses for free using the one month free trial of LinkedIn Learning
Descriptive Healthcare Analytics in R
Healthcare Analytics: Regression in R
If you would rather read than watch video courses, you can try the following website
Communities/ Discussion Forums
You can try to discuss your doubts in our Discussion Forum
DSM – R Discussion Forum
If you have are unable to find suitable answers to your queries/ doubts in our discussion forum, you can try the Global R Studio Community
R Studio Community