Adding R scripts to Jupyter on Windows

The default installation for Anaconda does not include R—I'm not sure why. Once Anaconda is installed, you need to specially install it using the command line. Then, we will take the plunge and add R scripting, which is very similar to what we did for macOS:

conda install -c r notebook r-irkernel 

This produces a detailed view of the packages that are updated. In my case, it installed a full set of R packages and runtimes, even though I had used R elsewhere on the machine earlier:

C:\Users\Dan>conda install -c r notebook r-irkernel
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.4.10
latest version: 4.5.4
Please update conda by running
$ conda update -n base conda
## Package Plan ##
environment location: C:\Users\Dan\Anaconda3
added / updated specs:
- notebook
- r-irkernel
The following packages will be downloaded:
package | build
-------------------|-----------------r-pbdzmq-0.2_6 | mro343h889e2dd_0 4.2 MB r
libxml2-2.9.8 | vc14_0 3.2 MB conda-forge
...
r-stringr-1.2.0 | mro343h889e2dd_0 143 KB r
r-repr-0.12.0 | mro343h889e2dd_0 68 KB r
r-irdisplay-0.4.4 | mro343h889e2dd_0 29 KB r
jpeg-9b | vc14_2 314 KB conda-forge
r-r6-2.2.2 | mro343_0 5.4 MB r
r-digest-0.6.13 | mro343h889e2dd_0 168 KB r
------------------------------------------------------------
Total: 140.2 MB
The following NEW packages will be INSTALLED:
mro-base: 3.4.3-0 r
r-crayon: 1.3.4-mro343h889e2dd_0 r
r-digest: 0.6.13-mro343h889e2dd_0 r
r-evaluate: 0.10.1-mro343h889e2dd_0 r
...
r-stringr: 1.2.0-mro343h889e2dd_0 r
r-uuid: 0.1_2-mro343h889e2dd_0 r
The following packages will be UPDATED:
_r-mutex: 1.0.0-anacondar_1 r --> 1.0.0-mro_2 r
jpeg: 9b-hb83a4c4_2 --> 9b-vc14_2 conda-forge [vc14]
libxml2: 2.9.7-h79bbb47_0 --> 2.9.8-vc14_0 conda-forge [vc14]
sqlite: 3.22.0-h9d3ae62_0 --> 3.22.0-vc14_0 conda-forge [vc14]
r-base: 3.4.3-h6bb4b03_0 r --> 3.4.1-1 conda-forge
Proceed ([y]/n)? y
Downloading and Extracting Packages
r-pbdzmq 0.2_6: ########################################## | 100%
libxml2 2.9.8: ########################################### | 100%
r-irkernel 0.8.11: ####################################### | 100%
r-magrittr 1.5: ########################################## | 100%
r-evaluate 0.10.1: ####################################### | 100%
_r-mutex 1.0.0: ########################################## | 100%
...
r-digest 0.6.13: ########################################################## | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

Now when you start Jupyter and pull down the kernel menu, you will see R as a choice: