


I selected all packages that needed an update and updated them. On the right hand lower corner I pressed on Packages and then on update. > install.packages("", type="source")įor more information about R, including technical documentation, see the R Project website. I had a similar issue for another package, and the easiest way to fix it was as follows (in RStudio): Close all open.

You can specify a different site, such as. Choose one of these HTTP sites as a source for downloading the zoo and xts packages. A second page will open showing multiple HTTP mirror sites. Scroll to the end of the list and click (HTTP mirrors). If you use this method, a window pops up with a list of HTTPS CRAN mirror sites.
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At the R prompt >, choose one of the following three methods to identify a download site for the packages from the Comprehensive R Archive Network (CRAN) and install the packages:.Pfe27% export R_LIBS=~/R-packages (for bash) Pfe27% setenv R_LIBS ~/R-packages (for csh) Pre-create a directory and set the R_LIBS environment variable:.The example shows a few possible arguments you can choose for the install.packages function. RStudio community - package development is a great place to ask specific questions related to package development. In the following sample steps, the recommended method described above is used to install the xts package (along with the zoo package, on which it has a dependency). R Packages is a book that gives a comprehensive treatment of all common parts of package development and uses devtools throughout. During the installation step that includes the install.package function, answer yes ( y) to both of these questions: (1) Would you like to use a personal library instead? and (2) Would you like to create a personal library ~/R/x86_64-unknown-linux-gnu-library/?r-version-number?.
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During installation, add the lib="/u/your_username/R-packages" option to the install.packages function. R is an extensible system and many people share useful code they have developed as a package via CRAN and GitHub. Pre-create a directory (such as ~/R-packages).(See sample steps below.)Īlternatively, you can use one of these methods to install R packages in your own directory: Recommendation: Pre-create a directory (such as ~/R-packages) and set the R_LIBS environment variable before installing R packages. Instead, you can install R packages in your own directories. By default, the system attempts to install the packages in the /lib/R/library subdirectory under the pgksrc root directory where you do not have write permission. You can install additional R packages for your own use. The pkgsrc build on Pleiades includes the basic R package and a few other R packages, such as the Interface to Unidata netCDF data files (ncdf) and Regression Spline Functions and Classes (splines). R can easily be extended with packages written by others in the R community. R is a language and environment for statistical computing and graphics that is available through the NetBSD Packages Collection (pkgsrc) on Pleiades.
