As a statistician I believe this article shows the strengths of R<p>- fast prototyping methods<p>- easily repeat research with scripts<p>- data visualization<p>- huge repository of add-on libraries from many areas of study<p>Sure R has it setbacks.  I wouldn&#x27;t rely on it for a production environment or a substitute for a higher level programming language.  Yet if you want to study data and get results rather quick there is few that could compete in this space.