It is essential to load the package before we can use it in your code. We use the function "library()" to load the package. Install.packages("MASS_7.3-53.zip",repos = NULL, type = 'source') Below is the code for installation of "MASS". Once the file has been downladed, we use the command " install.packages("file name along with its PATH", repos = NULL, type = 'source') " to install from the local machine. zip file of a new package by acessing the following link: Visit R-Packages Step 1: Installing packages This recipe demonstrates the installation and loading of a package from local machine using a. If we want to add a new package, we can use three ways to do it: We can see all the default packages by using code : 'library()'. There already exists some default packages in the local directory 'library' on your machine when you install R. Learn to Build a Hybrid Recommender System in Python For Example, "dplyr" is one of the commonly used packages in R which adds further functionalities with respect to working with dataframes. They are stored in the 'library' directory in the R-environment and developed by the community. R packages consists of a collection of R functions, data sets and compiled code which adds value to the existing R-functionalities.
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