You read already my first R post, this is a refresher.
Setup
You can find R in CRAN.
Setup Related
You can find related projects in CRAN.
Setup Packages
You can find ReShape2 in GitHub or
install.packages("reshape2")
Reshape2 makes it easy to transform data between wide and long formats. reshape2 is based around two key functions: melt and cast: melt takes wide-format data and melts it into long-format data and cast takes long-format data and casts it into wide-format data.
You can find Dplyr in GitHub or
install.packages("dplyr")
Dplyr is the next iteration of plyr, focussing on only data frames. dplyr is faster and has a more consistent API.You can find DevTools or
install.packages("devtools")
Devtools makes package development a breeze: it works with R’s existing
conventions for code structure, adding efficient tools to support the
cycle of package development.You can find PackRat or
install.packages("packrat")
A dependency management tool for R to make your R projects more isolated, portable, and reproducible.You can find KnitR. Elegant, flexible and fast dynamic report generation that combines R with TeX, Markdown, or HTML.
You can find RMarkdown Website or in GitHub or
install.packages("rmarkdown")
R Markdown lets you insert R code into a markdown document. R then
generates a final document that replaces the R code with its results.You can find Shiny or
install.packages("shiny")
Shiny makes it incredibly easy to build interactive web applications with R.
You can find Ggplot2 or
install.packages("ggplot2")
An enhanced data visualization package for R.You can find GgVis or
install.packages("ggvis")
Is the next iteration of the popular ggplot2 graphics package. ggvis creates dynamic, interactive data visualizations.You can find RforGoogleAdWord post.
Setup R-(D)COM
You can find R-(D)COM in CRAN. Also the R-(D)COM installer.
Setup RStudio
You can find it in it RStudio Website.
Setup PowerShell
You can find PowerShell R Interop in Codeplex.
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