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Install useful R packages data science

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Aabehmiel
Last edited Mar 9, 2017
Created on Jan 4, 2018

This example shows a script for installing a curated set of R packages essential for data science workflows. It covers data manipulation with `dplyr`, `tidyr`, and `data.table`; data presentation via `rmarkdown` and `knitr`; database connectivity through `RODBC`, `RMySQL`, `RPostgreSQL`, and `RSQLite`; and file I/O for formats like Excel (`xlsx`), SAS (`foreign`), JSON (`jsonlite`), and XML (`XML`). The code also includes packages for plotting (`ggplot2`), package development (`devtools`, `roxygen2`), and testing (`testthat`). Each package name is accompanied by a comment explaining its purpose, making the installation list self-documenting.

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