Install.packages('E:/XML_3.98-1.3.zip', repos = NULL, type = 'source')īefore a package can be used in the code, it must be loaded to the current R environment. Install.packages(file_name_with_path, repos = NULL, type = 'source') Now you can run the following command to install this package in the R environment. zip file in a suitable location in the local system. Go to the link R Packages to download the package needed. Choose the one appropriate to your location. You may be prompted to choose a nearest mirror. The following command gets the packages directly from CRAN webpage and installs the package in the R environment. One is installing directly from the CRAN directory and another is downloading the package to your local system and installing it manually. There are two ways to add new R packages. 'package:methods' 'Autoloads' 'package:base' 'package:grDevices' 'package:utils' 'package:datasets' '.GlobalEnv' 'package:stats' 'package:graphics' Get all packages currently loaded in the R environment Stats4 Statistical Functions using S4 Classes

Splines Regression Spline Functions and Classes Spatial Functions for Kriging and Point Pattern Rpart Recursive Partitioning and Regression Trees Parallel Support for Parallel computation in R Nnet Feed-Forward Neural Networks and Multinomial Nlme Linear and Nonlinear Mixed Effects Models Mgcv Mixed GAM Computation Vehicle with GCV/AIC/REML Matrix Sparse and Dense Matrix Classes and Methods MASS Support Functions and Datasets for Venables and KernSmooth Functions for Kernel Smoothing Supporting Wand GrDevices The R Graphics Devices and Support for Colours Packages in library ‘C:/Program Files/R/R-3.2.2/library’:īoot Bootstrap Functions (Originally by Angelo CantyĬluster 'Finding Groups in Data': Cluster Analysisįoreign Read Data Stored by 'Minitab', 'S', 'SAS', It may vary depending on the local settings of your pc. When we execute the above code, it produces the following result.

Load packages in r