What R Is Not?
Anyone starting to learn R will let you know that R is not easy to learn. R is not technically friendly because symbols such as  along with syntax are used to perform operations. In fact, the syntax is often the most important component to learn. While R got its initial fame from creating simple plots and statistical modeling, R is not restricted to plots and stats. R is also not just for big data and data science. R can be used for most any data management and analysis tasks. R is also not similar to SAS. R syntax is case sensitive and not friendly towards missing data. This means that you must be careful to submit the correct case as well as inform R how you plan to handle missing data.
Why Should You Learn R?
Large pharma companies have already jumped on the bandwagon and now develop their own R custom packages. In response to that, CROs now provide internal R training to better support their clients. SAS Institute also recognized the growth of R by integrating some tools with R. CDISC, PhUSE and FDA have also taken steps to install and start using R more. Finally, for SAS programmers wanting to advance in their career, R programming skills are starting to be a new requirement for Statistical Programming positions.