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Install.packages( “xts”, dependencies = TRUE ) Install.packages( “RODBC”, dependencies = TRUE ) Install.packages( “stringdist”, dependencies = TRUE )

Stringdist -> Computes string distances, very useful when creating clusters of catalog descriptions. Install.packages( “sqldf”, dependencies = TRUE ) Sqldf -> Run SQL instructions on your datasets. Install.packages( “data.table”, dependencies = TRUE ) Install.packages( “tidyverse”, dependencies = TRUE )ĭata.table -> Fast manipulation of large datasets. for Ubuntu 18.Tidyverse -> Opinionated collection of R packages designed for data science. Select your distribution and version, e.g. Go to, click on RStudio Desktop (Free).

In most cases, it is recommended to install R via your distribution's package manager.Īfterwards, install RStudio from the provided packages on.

Once the installation is completed, you will be able to find RStudio among your installed programs.īefore installing RStudio, make sure you have R installed. Run the RStudio installer and follow the instructions you can accept the defaults.Download the installer of the current version of RStudio, at the time of writing this is " RStudio-.exe" (Link: ).Go to and download RStudio Desktop (Free).(Once installation is completed, you will be able to find Rgui.exe among your installed programs.) double-click on the icon and follow the instructions, you can accept the defaults. Click on " Download R for Windows" (Link: )ĭownload the current R version, at the time of writing the version is " R 4.0.5 for Windows (85 megabytes, 32/64 bit)" (Link: ).Download and install R before installing RStudio.(The basic interface Rgui.exe will be installed automatically while installing R, but we will use RStudio instead.) Before installing RStudio, the R programming language should be installed first. Rstudio provides a very convenient environment for working with R.