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instalando el kernel de R para jupyter notebook

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Aaaizemberg
Last edited Aug 6, 2018
Created on Aug 6, 2018

This guide demonstrates how to enable R code execution within a Jupyter Notebook environment. It shows the sequential installation of Python, Jupyter Notebook, R, and RStudio, then details adding the R kernel for Jupyter through RStudio using the `install.packages` and `devtools::install_github` commands for the IRkernel package, followed by the `IRkernel::installspec()` API call. The example explains the setup steps for integrating R’s computing capabilities directly into Jupyter’s interface.

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