R Packages

R Packages

Packages are a collection of R functions, sample data, precompiled code, including R programs, comment documents, examples, test data, etc.

R language related packages are generally stored in the 'library' directory under the installation directory, by default, some commonly used packages are brought by the installation of R language, of course, we can also add some packages to be used in the later stage.

You can find the complete related packages of R language here:https://cran.r-project.org/web/packages/available_packages_by_name.html

Next, we mainly introduce how to install R language packages.

View the installation directory of R packages

We can use the following functions to view the installation directory of R packages:

> .libPaths()
]]1] "/Library/Frameworks/R.framework/Versions/4.0/Resources/library"
>

View installed packages

We can use the following functions to view installed packages:

library()

The output result is as follows:

The R Base Package
Bootstrap Functions (Originally by Angelo Canty
　　　　　　　　　　　　　　　　　　　　　　　　The R Compiler Package
compiler
The R Datasets Package
　　　　　　　　　　　　　　　　　　　　　　　　datasets
Read Data Stored by 'Minitab', 'S', 'SAS',
foreign
'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ...
graphics
　　　　　　　　　　　　　　　　　　　　　　　　The R Graphics Devices and Support for Colours
grDevices
and Fonts
　　　　　　　　　　　　　　　　　　　　　　　　The Grid Graphics Package
grid
Functions for Kernel Smoothing Supporting Wand
　　　　　　　　　　　　　　　　　　　　　　　　KernSmooth1995lattice
Support Functions and Datasets for Venables and
MASS
　　　　　　　　　　　　　　　　　　　　　　　　Ripley's MASS

package:graphics

package:stats

package:datasets
]]1package:utils　
]]4package:grDevices　
]]7][ "package:methods" "Autoloads" "package:base"

Install New Package

You can use install.packages() function, in the format as follows:

install.packages("To Install Package Name")

We can directly set the package name, from 　CRAN website, as the following example shows us loading the XML package:

# Install XML package
install.packages("XML")

Or we can directly get the package from CRAN Download the relevant packages and install them locally directly:

install.packages("./XML_3.98-1.3.zip")

Generally, we recommend using domestic mirrors in our country. The following example uses Tsinghua source for installation:

# Install XML package
install.packages("XML", repos = "https://mirrors.ustc.edu.cn/CRAN/")

CRAN (The Comprehensive R Archive Network) mirror source configuration files include .Rprofile (located at ~/.Rprofile ).

Add the following statement at the end:

options("repos" = c(CRAN="https://mirrors.tuna.tsinghua.edu.cn/CRAN/"))

Open R to use this CRAN mirror source to install R software packages.

Using Packages

Newly installed packages need to be loaded into the R compilation environment before they can be used, in the format as follows:

library("Package Name")

The following example loads the XML package:

library("XML")