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I seem to be sharing a lot of code with coauthors these days. Many of them are novice/intermediate R users and don't realize that they have to install packages they don't already have.
Is there an elegant way to call installed.packages(), compare that to the ones I am loading and install if missing?
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You use the pkgchk command to check installation completeness, path name, file contents, and file attributes of a package. See pkgchk(1M) for more information on all the options. Use the pkginfo command to display information about the packages that are installed on the system.
Calling installed. packages() returns a detailed data frame about installed packages, not only containing names, but also licences, versions, dependencies and more.
Open R via your preferred method (icon on desktop, Start Menu, dock, etc.) Click “Packages” in the top menu then click “Install package(s)”. Choose a mirror that is closest to your geographical location. Now you get to choose which packages you want to install.
In R, you can easily install and load additional packages provided by other users. or click Tools > Install packages. Write the package name in the dialog, then click install. Once you install the package, you need to load it so that it becomes available to use.
Yes. If you have your list of packages, compare it to the output from installed.packages()[,"Package"] and install the missing packages. Something like this:
list.of.packages <- c("ggplot2", "Rcpp") new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])] if(length(new.packages)) install.packages(new.packages) Otherwise:
If you put your code in a package and make them dependencies, then they will automatically be installed when you install your package.
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