* Added beginner's tutorial for R.

R/20180521.R-tutorial-pointer-1.md

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+Pointers on Getting Started with R
+==================================
+
+<!--
+Originally sent to Ziniya Zahedi @ Dragas Center
+-->
+
+R tutorials
+-----------
+
+This is perhaps a nice starting point to learn R:
+
+    http://www.cyclismo.org/tutorial/R/
+
+There is a longer and more comprehensive intro to R, which you
+probably want to treat as a "reference":
+
+    https://cran.r-project.org/doc/manuals/r-release/R-intro.html
+
+Browse the TOC and become familiar with it; then when you need to do
+certain thing, you'll know where to look for help. (Don't worry:
+you'll not need everything in this document.)
+
+The Carpentries has some lessons on R which you could try--but these
+are meant for in-person workshops, so they are best followed
+step-by-step (and you should try it on your R environment to see what
+the effect of each command is):
+
+* Programming with R: http://swcarpentry.github.io/r-novice-inflammation/
+
+* Data analysis with R: http://www.datacarpentry.org/R-ecology-lesson/
+
+These lessons use RStudio, which you have, so you're good. The first
+set of lessons may be the best bang for your time. The second set is
+more advanced, but it could be useful when you are on the next stage
+of the development.