CRAN also 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, you can install every package in that view using the ctv package - an R package for automating package installation.
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")
Using and Managing Packages
To use a package, start up 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.
To use a package, start up 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 where others are adding additional 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