B.4 About CRAN Task Views
CRAN maintains a set of Task Views that identify packages associated with a particular task or methodology.
Task Views are helpful in guiding users through the huge set of available R packages. They are actively maintained by volunteers who include detailed annotations for routines and packages. If you find one of the task views is a perfect match, then you can install every package in that view using the ctv
package, which automates package installation.
Install the ctv Package and Task Views
To use the ctv
package to install a task view, first, install and load the ctv
package.
R> install.packages("ctv")
R> library(ctv)
Then query the names of the available task views and install the view you choose.
R> available.views()
R> install.views("TimeSeries")
Use and Manage Packages
To use a package, start R and load packages one at a time with the library
command.
Load the arules
package in your R session.
R> library(arules)
Verify the version of arules
installed.
R> packageVersion("arules")
[1] '1.1.9'
Verify the version of arules
installed on the database server using embedded R execution.
R> ore.doEval(function() packageVersion("arules"))
View the help file for the apropos
function in the arules
package.
R> ?apropos
Over time, your package repository will contain more and more packages, especially if you are using the system-wide repository in which others are also adding packages. It's good to know the entire set of R packages accessible in your environment. To list all available packages in your local R session, use the installed.packages
command:
R> myLocalPackages <- row.names(installed.packages())
R> myLocalPackages
Parent topic: R Package Installation Tips