From 8038cb091e3ce7d820237c6a3d09ce850c0cddd7 Mon Sep 17 00:00:00 2001 From: Wirawan Purwanto Date: Mon, 25 Nov 2019 11:59:36 -0500 Subject: [PATCH] * Added beginner's tutorial for R. --- R/20180521.R-tutorial-pointer-1.md | 36 ++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) create mode 100644 R/20180521.R-tutorial-pointer-1.md diff --git a/R/20180521.R-tutorial-pointer-1.md b/R/20180521.R-tutorial-pointer-1.md new file mode 100644 index 0000000..4144c09 --- /dev/null +++ b/R/20180521.R-tutorial-pointer-1.md @@ -0,0 +1,36 @@ +Pointers on Getting Started with R +================================== + + + +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.