R is a statistical software made up of many user-written packages. The base version of R that is downloaded allows the user to get started in R, but anyone performing data analysis will quickly exhaust the capabilities of base R and need to install additional packages. Here are some basic commands for managing R packages.
To see what packages are installed, use the installed.packages() command. This will return a matrix with a row for each package that has been installed. Below, we look at the first 5 rows of this matrix.
installed.packages()[1:5,]
Package LibPath Version Priority
base "base" "C:/PROGRA~1/r/R-211~1.1/library" "2.11.1" "base"
boot "boot" "C:/PROGRA~1/r/R-211~1.1/library" "1.2-42" "recommended"
car "car" "C:/PROGRA~1/r/R-211~1.1/library" "2.0-2" NA
class "class" "C:/PROGRA~1/r/R-211~1.1/library" "7.3-2" "recommended"
cluster "cluster" "C:/PROGRA~1/r/R-211~1.1/library" "1.12.3" "recommended"
Depends Imports LinkingTo
base NA NA NA
boot "R (>= 2.9.0), graphics, stats" NA NA
car "R (>= 2.1.1), stats, graphics, MASS, nnet, survival" NA NA
class "R (>= 2.5.0), stats, utils" "MASS" NA
cluster "R (>= 2.9.0), stats, graphics, utils" NA NA
Suggests Enhances OS_type License Built
base NA NA NA "Part of R 2.11.1" "2.11.1"
boot "survival" NA NA "Unlimited" "2.11.1"
car "alr3, leaps, lmtest, sandwich, mgcv, rgl" NA NA "GPL (>= 2)" "2.11.1"
class NA NA NA "GPL-2 | GPL-3" "2.11.1"
cluster NA NA NA "GPL (>= 2)" "2.11.1"
From this output, we will first focus on the Package and Priority columns. The Package column gives the name of the package and the Priority column indicates what is needed to use functions from the package.
a<-installed.packages() packages<-a[,1] is.element("boot", packages)[1] TRUE
Any package that does not appear in the installed packages matrix must be installed and loaded before its functions can be used. A package can be installed using install.packages("<package name>"). A package can be removed using remove.packages("<package name>").
The list of available R packages is constantly growing. The actual list can be obtained using available.packages(). This returns a matrix with a row for each package.
p <- available.packages()
dim(p)
[1] 2553 12
p[1:5,]
Package Version Priority Depends Imports
ACCLMA "ACCLMA" "1.0" NA NA NA
ADGofTest "ADGofTest" "0.1" NA NA NA
AER "AER" "1.1-7" NA "R (>= 2.5.0), stats, car (>= 2.0-1), Formula (>= 0.2-0),\nlmtest, sandwich, strucchange, survival, zoo" "stats"
AGSDest "AGSDest" "1.0" NA "ldbounds" NA
AICcmodavg "AICcmodavg" "1.11" NA NA NA
LinkingTo
ACCLMA NA
ADGofTest NA
AER NA
AGSDest NA
AICcmodavg NA
Suggests
ACCLMA NA
ADGofTest NA
AER "boot, dynlm, effects, foreign, ineq, KernSmooth, lattice,\nMASS, mlogit, nlme, nnet, np, plm, pscl, quantreg, ROCR,\nsampleSelection, scatterplot3d, systemfit, rgl, truncreg,\ntseries, urca"
AGSDest NA
AICcmodavg "lme4, MASS, nlme, nnet"
Enhances OS_type License File Repository
ACCLMA NA NA "GPL-2" NA "http://cran.stat.ucla.edu/bin/windows/contrib/2.11"
ADGofTest NA NA "GPL" NA "http://cran.stat.ucla.edu/bin/windows/contrib/2.11"
AER NA NA "GPL-2" NA "http://cran.stat.ucla.edu/bin/windows/contrib/2.11"
AGSDest NA NA "GPL (>= 2)" NA "http://cran.stat.ucla.edu/bin/windows/contrib/2.11"
AICcmodavg NA NA "GPL (>= 2 )" NA "http://cran.stat.ucla.edu/bin/windows/contrib/2.11"
These first five (of 2,553) available packages illustrate that the package names are often acronyms and rarely reveal what the package functions do. A list of the packages available through CRAN including a short package description can be found at CRAN's Contributed Packages page.
It is easy to access some quick documentation for a package from R with the help command. This opens an R window with package information followed by a list of functions and datasets.
help(package="MASS")![]()
Once a package is loaded, the help command can also be used with all functions and datasets listed here, e.g. help(Null).
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