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Managing R packages refers to the process of installing, updating, and removing packages in the R programming language. Packages are collections of functions, data, and documentation that extend the capabilities of R. To manage packages, one must first access the CRAN (Comprehensive R Archive Network) repository, which contains a vast collection of R packages. From there, they can use the R console or a package management tool to install, update, and remove packages as needed. Proper management of R packages is essential for efficient and effective data analysis and programming in R.
How can I manage R packages? | R FAQ
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.
Which packages do I already have?
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.
Have I installed a specific package?
Sometimes, you might want to know if you have already installed a specific
package. Let’s say we want to check if we have installed the package “boot”.
Instead of checking the entire list of installed packages, we can do the
following.
a<-installed.packages() packages<-a[,1] is.element("boot", packages)[1] TRUE
How can I add or delete packages?
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>“).
What packages are available?
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
[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.
What functions and datasets are in a package?
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).
Cite this article
stats writer (2024). How can I manage R packages?. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/stats/how-can-i-manage-r-packages/
stats writer. "How can I manage R packages?." PSYCHOLOGICAL SCALES, 30 Jun. 2024, https://scales.arabpsychology.com/stats/how-can-i-manage-r-packages/.
stats writer. "How can I manage R packages?." PSYCHOLOGICAL SCALES, 2024. https://scales.arabpsychology.com/stats/how-can-i-manage-r-packages/.
stats writer (2024) 'How can I manage R packages?', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/stats/how-can-i-manage-r-packages/.
[1] stats writer, "How can I manage R packages?," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, June, 2024.
stats writer. How can I manage R packages?. PSYCHOLOGICAL SCALES. 2024;vol(issue):pages.