19/9/19 1%08R Commander Installation
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R Commander Installation Notes
The Rcmdr package is a standard R package, and it installs and is loaded in the normal manner. There are, however, a few
installation issues, particularly on Macintosh systems, and these are described in this document.
For more detailed basic installation instructions, see Ch. 2 of my book Using the R Commander.
A general point is keep in mind is that the Rcmdr package uses a number of other "contributed" packages (in addition to packages,
such as tcltk and MASS, that are part of the standard R distribution), and these must be present for it to work properly. Many of
these packages have their own dependencies, which depend on still other packages, etc. These additional packages will either be
installed along with the Rcmdr package or the Rcmdr will offer to install them when it first starts up (and you should accept the
offer).
General Installation Procedure
The following instructions may be all you need to get started; for more detailed instructions and potential installation issues, see the
various sections below. These instructions assume that you have an active Internet connection.
1. Download R from CRAN and install it in the manner appropriate to your operating system. If you have an old version of R --
that is, older than the current version -- then it's generally a good idea to install the current version of R before installing the
Rcmdr package. On Windows, opt for a customized startup and select the single-document interface ("SDI," see the Windows
notes below for details).
2. On macOS only, download and install XQuartz, and reboot your computer (see the Mac notes below for greater detail).
3. Start R, and at the > command prompt, type the command install.packages("Rcmdr")
4. Once it is installed, to load the Rcmdr package, just enter the command library(Rcmdr)
General Installation Issues
Ocassionally, an R package or packages required by the Rcmdr package fails to be installed and the R Commander can't start.
When this happens, there is typically an informative error message about the missing package(s). There are two common causes
for this problem: (1) The package(s) in question may be temporarily missing from the CRAN mirror that you used; or (2) the
package(s) may be permanently unavailable for an older version of R.
In the first instance, you can install (each) missing package directly via the command install.packages("package-name"),
or, for more than one missing package, install.packages(c("package-1-name", "package-2-name", etc)) , selecting
a different CRAN mirror from the one you used initially. In the second instance, you can install the current version of R (always a
good idea), and start again.
If you wish to start the R Commander automatically when R starts up, you can add a plain-text ("ascii") file named .Rprofile to
your home directory, with the following contents:
local({
old <- getOption("defaultPackages")
options(defaultPackages = c(old, "Rcmdr"))
})
To determine your home directory, type the command getwd() ("get working directory") at the > command prompt in a fresh R
session. Be sure to use a plain-text editor to create this file, not a word processor like Word, or, if using a word processor, to save
the file as a plain-text file.
Notes for specific platforms
If the general installation procedure and installation issues above are insufficient, here is specific information for Windows, Linux,
and macOS systems:
Windows Installation
The easiest way to install the Rcmdr package is via the Rgui Packages -> Install packages menu or via the command
install.packages("Rcmdr") entered at the R > command prompt. R will ask you to select a CRAN mirror; pick the first, "0-
Cloud" mirror, or a mirror site near you.
When you first load the Rcmdr package with the command library("Rcmdr"), it will offer to download and install missing
dependencies; allow it to do so. If you installed R in Program Files, you may prefer to run R with adminstrator privileges to install
packages: Right click the R icon and select "Run as administrator." Otherwise, packages will be installed in a package library
particular to your user account rather than the main R package library; that should work OK too. I suggest that you install R into a
