Packages in the programming language R – R packets are a set of R functions
R packets are a set of R functions; Which match the sample data and code. They are stored in R directory under a directory called “library”.
R packets are a set of R Functions, R installs a set of packages. More packages can be added later; That is, when they are needed for a specific purpose.
When we launch the R console; Only default packages are available. Other packages already installed; Must be explicitly downloaded by the R program; When using them; Be usable.
All packages available in the R programming language; In R packages are listed.
The following is a list of commands used to check, verify, and use R packets:
Check the packages available in R
.libPaths ()
When we run the above code; The following result is obtained. Of course, your computer’s local configuration package may change slightly.
[2] “C: / Program Files / R / R-3.2.2 / library”
Get a list of all installed packages
library ()
Packages in library ‘C: / Program Files / R / R-3.2.2 / library’:
base The R Base Package
boot Bootstrap Functions (Originally by Angelo Canty
for S)
class Functions for Classification
cluster “Finding Groups in Data”: Cluster Analysis
Extended Rousseeuw et al.
codetools Code Analysis Tools for R
compiler The R Compiler Package
datasets The R Datasets Package
foreign Read Data Stored by ‘Minitab’, ‘S’, ‘SAS’,
‘SPSS’, ‘Stata’, ‘Systat’, ‘Weka’, ‘dBase’,…
graphics The R Graphics Package
grDevices The R Graphics Devices and Support for Colors
and Fonts
grid The Grid Graphics Package
KernSmooth Functions for Kernel Smoothing Supporting Wand
& Jones (1995)
lattice Trellis Graphics for R
MASS Support Functions and Datasets for Venables and
Ripley’s MASS
Matrix Sparse and Dense Matrix Classes and Methods
methods Formal Methods and Classes
mgcv Mixed GAM Computation Vehicle with GCV / AIC / REML
Smoothness Estimation
nlme Linear and Nonlinear Mixed Effects Models
nnet Feed-Forward Neural Networks and Multinomial
Log-Linear Models
parallel Support for Parallel computation in R
rpart Recursive Partitioning and Regression Trees
spatial Functions for Kriging and Point Pattern
Analysis
splines Regression Spline Functions and Classes
stats The R Stats Package
stats4 Statistical Functions using S4 Classes
survival Survival Analysis
tcltk Tcl / Tk Interface
tools Tools for Package Development
utils The R Utils Package
Thus all packets currently loaded in R environment; it will be received.
search ()
When we execute the above code; The following result is obtained; Which, of course, may depend on your computer’s local settings; Slightly different:
[1] “.GlobalEnv” “package: stats” “package: graphics”
[4] “package: grDevices” “package: utils” “package: datasets”
[7] “package: methods” “Autoloads” “package: base”
Install a new package
There are two ways we can add new packages to R. One is to install directly from the CRAN directory and the other is to download a package for your local system and install it manually.
Direct installation from CRAN
The following command receives the packages directly from the CRAN website page and installs the packet in R environment. You may be asking to select the nearest mirror. Choose one that fits your location.
install.packages (“Package Name”)
# Install the package named “XML”.
install.packages (“XML”)
Install the package manually
See the R packages link . Download the required package. Save the package as a zip file to a convenient location on your local system.
You can now run the following command to install this package in R environment:
install.packages (file_name_with_path, repos = NULL, type = “source”)
# Install the package named “XML”
install.packages (“E: /XML_3.98-1.3.zip”, repos = NULL, type = “source”)
Load the package in the Library
Before a package can be use in coding, that package must be load in the current R environment. You should also; Load a package that was previously install but is not available in the current R environment. A package is loading using the following command.
library (“package Name”, lib.loc = “path to library”)
# Load the package named “XML”
install.packages (“E: /XML_3.98-1.3.zip”, repos = NULL, type = “source”)