Day: June 24, 2019

Running R on Jupyter Notebook with R Kernel (No Anaconda)

A simple guide to install R Kernel on Jupyter Notebook (Windows).  Do not need Anaconda.

  1. Objectives:
      1. Install R Kernel on Jupyter Notebook (Windows)
  2. Required Tools:
      1. R for windows— R for windows
      2. JupyterNotebook — Jupyter Notebook
  3. Steps:
      1. Install R. Use the R terminal (do not use R studio) to install R packages:
        • install.packages(c(‘repr’, ‘IRdisplay’, ‘evaluate’, ‘crayon’, ‘pbdZMQ’, ‘devtools’, ‘uuid’, ‘digest’))
        • install.packages(‘IRkernel’)
      2. Make Kernel available to Jupyter
        • IRkernel::installspec()
        • OR IRkernel::installspec(user = FALSE) #install system-wide
      3. Open a notebook and open new R script.

Further notes 

  • After getting Additional R library might be hard to install inside the Notebook. For workaround, install desired library in R terminal then open the Notebook.
  • If need to use R.exe on windows command terminal, ensure R.exe is on path. [likely location: C:\R\R-2.15.1\bin]
  • ggplot tutorial

References:

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