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