Installation tips

Easiest is to a miniconda + r-essentials install like here (If you want the hard way ask me later - i.e. the way where you can pick your R release version)

Installing packages

A lot of the time with jupyter systems you will encounter, you will not have permission to write to the default library so do this:



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# Check library location
.libPaths()



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# Add a local path (if it doesn't exist nothing will happen)
.libPaths(c(.libPaths(), "C:/Users/michhar/Documents/bin/rmds"))

# Then recheck
.libPaths()



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getwd()



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install.packages("ggplot2", repos = "http://cloud.r-project.org/", 
                 lib = "C:/Users/michhar/Documents/R/win-library/3.2/")

Just so you know...you can write R code in a python notebook - here are some links:

(this has some advantages such as using the more feature rich IPython kernel...but if you don't care about magics and OS interaction that much don't worry about it)

http://eneskemalergin.github.io/2015/10/01/R_Magic_with_IPython/
http://blog.revolutionanalytics.com/2016/01/pipelining-r-python.html - my shameless plug for myself

Created by a Microsoft Employee.



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