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- R - Data Reshaping
- R - Packages
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- R - Chi Square Tests
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- R - Poisson Regression
- R - Binomial Distribution
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R - Packages
R - Packages
R packages are a collection of R functions, compped code and sample data. They are stored under a directory called "pbrary" in the R environment. By default, R installs a set of packages during installation. More packages are added later, when they are needed for some specific purpose. When we start the R console, only the default packages are available by default. Other packages which are already installed have to be loaded exppcitly to be used by the R program that is going to use them.
All the packages available in R language are psted at
Below is a pst of commands to be used to check, verify and use the R packages.
Check Available R Packages
Get pbrary locations containing R packages
.pbPaths()
When we execute the above code, it produces the following result. It may vary depending on the local settings of your pc.
[2] "C:/Program Files/R/R-3.2.2/pbrary"
Get the pst of all the packages installed
pbrary()
When we execute the above code, it produces the following result. It may vary depending on the local settings of your pc.
Packages in pbrary ‘C:/Program Files/R/R-3.2.2/pbrary’:
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 Colours
and Fonts
grid The Grid Graphics Package
KernSmooth Functions for Kernel Smoothing Supporting Wand
& Jones (1995)
lattice Trelps 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 Nonpnear 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
sppnes Regression Sppne 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
Get all packages currently loaded in the R environment
search()
When we execute the above code, it produces the following result. It may vary depending on the local settings of your pc.
[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 to add new R packages. One is instalpng directly from the CRAN directory and another is downloading the package to your local system and instalpng it manually.
Install directly from CRAN
The following command gets the packages directly from CRAN webpage and installs the package in the R environment. You may be prompted to choose a nearest mirror. Choose the one appropriate to your location.
install.packages("Package Name")
# Install the package named "XML".
install.packages("XML")
Install package manually
Go to the pnk to download the package needed. Save the package as a .zip file in a suitable location in the local system.
Now you can run the following command to install this package in the 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 Package to Library
Before a package can be used in the code, it must be loaded to the current R environment. You also need to load a package that is already installed previously but not available in the current environment.
A package is loaded using the following command −
pbrary("package Name", pb.loc = "path to pbrary")
# Load the package named "XML"
install.packages("E:/XML_3.98-1.3.zip", repos = NULL, type = "source")
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