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release* are available for most stable Desktop releases of Ubuntu until their official end of life date. Users of Mint and other derivatives of Ubuntu.Install.Ubuntu Packages For R - Full Instructions Ubuntu Packages For R - Full Instructions TSA -> Useful to compute data seasonality. Install.packages( “stlplus”, dependencies = TRUE ) Allows for NA values, local quadratic smoothing, post-trend smoothing, and endpoint blending. The usage is very similar to that of R’s built-in stl(). Install.packages( “itsmr”, dependencies = TRUE ) Provides functions for modeling and forecasting time series data. Itsmr -> Time Series Analysis Using the Innovations Algorithm. Install.packages( “Rcmdr”, dependencies = TRUE ) A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package. Install.packages( “rattle”, dependencies = TRUE )

It makes getting started with data mining in R very easy. Rattle -> Tab-oriented user interface that is similar to Microsoft Office’s ribbon interface. Install.packages( “aTSA”, dependencies = TRUE ) Install.packages( “xgboost”, dependencies = TRUE ) Install.packages( “gbm”, dependencies = TRUE ) Gbm -> gbm ( Gradient Boosting Machine )algorithm for R Install.packages( “mailR”, dependencies = TRUE ) Install.packages( “forecast”, dependencies = TRUE ) Install.packages( “lubridate”, dependencies = TRUE )

Install.packages( “openxlsx”, dependencies = TRUE ) Openxlsx -> Read, Write and Edit XLSX Files Install.packages( “dygraphs”, dependencies = TRUE ) 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.

Tidyverse -> Opinionated collection of R packages designed for data science.