Install R 3.3.3 For Mac

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When was the last time you update your R and RStudio?

I installed RStudio and R a year ago, and never update it since then. Today I just noticed I cannot install new R packages because of my old R version. So I explore some ways to update R and would like to share with someone who is also looking to update R on RStudio.

The problem

RStudio and R cannot update on their own because some packages may not work after switching to the new version (You can still downgrade R version in RStudio if something went wrong though). After you install the new version, the previously installed packages will not go to next version. So it is required extra procedures to move the packages.

Here are 3 ways you can update R version in RStudio. Note that we need to move the install R packages, which I will show how at the end.

3 Solutions to update R on RStudio

Solution 1) Manually install (Recommended if you don't care about the old packages)

The first method is to download a new version of R from R website > CRAN. Then restart your RStudio. The new R version will be loaded automatically.

The new R version appear right after I install R and restart RStudio

Update 29/05/2019: For Mac users, solution 3 is too painful and not working well for me. This method is fast and working well. I would recommend to save your time from headache and use this method. Take note of your previous packages so you can install them again as needed.

Solution 2) Windows only – use installr

installr is the R package which helps install and update software.

The R code you will need for updating R is: (credit goes to Cara Wogsland for the code)

install.packages('installr')

library(installr)

updateR()

You can find the tutorial on how to use installr to update RStudio on R-Statistics website.

Solution 3) Mac only – use updateR

Similar to installr, updateR is the package to help updating R on Mac OS.

The R code you will need is these 5 lines: (credit goes to jroberayalas for the code)

install.packages('devtools') #assuming it is not already installed

library(devtools)

install_github('andreacirilloac/updateR')

library(updateR)

updateR(admin_password = 'Admin user password')

You can find in-depth tutorial on how to use updateR package on this blog.

How to move the previously installed R packages

This is the instructions for Mac OS user (who used solution 1 or 3 above). For Windows user, installr package will do this for you

(credit goes to RyanStochastic and micstr):

1. Move all folders from your old R version to new R version.

Download

/Library/Frameworks/R.framework/Versions/x.xx/Resources/library

Replace x.xx with the old and new R version at a time.

Note that you have to move only the packages that are not currently in the destination folder (because those are the base packages, and you don’t want to ruin them). But if you already did replaced everything, the next step will solve this for you.

If you cannot find the proper path, you can run this command to check: installed.packages()

2. Update the moved packages

Run the following command in R. Type ‘y’ for every question that popped up.

update.packages(checkBuilt=TRUE)

3. Type the following command in R to check if everything went well

version

packageStatus()

That’s it! Hope you guys success in updating R. If not, please check in the reference link below.

References: https://stackoverflow.com/questions/13656699/update-r-using-rstudio

The Rcmdr package is a standard R package, and it installs andis 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 usesa number of other 'contributed' packages (in addition to packages,such as tcltk and MASS, that are part of the standard R distribution), and thesemust 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 thecommand 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 canadd a plain-text ('ascii') file named .Rprofile to your home directory, with the following contents:

Install r 3.3.3 for mac windows 7

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 packagesmenu 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 missingdependencies; allow it to do so. If you installed R in Program Files, you may prefer to run R with adminstratorprivileges 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 differentdirectory, such as C:R, to avoid this issue.

On Windows, the Rcmdr package works best with the 'single-document 'R interface (SDI). Under the default 'multiple-document interface' (MDI), R Commander dialog boxes may not stay on top of the main R window. In the Startup options screen of the R installer, select Yes (customized startup). Then select the SDI (single-document interface) in preference to the default MDI (multiple-document interface); feel free to make other changes, but you may take all the remaining defaults.

If you install R with the standard MDI, to enable the SDI you can make a copy of the R desktop icon (right-click on the icon,drag it to a different location on the desktop, select Copy Here fromthe context menu). Right-click the new icon and select Properties. Add--sdi (preceded by a space) to the Targetfield on the Shortcut tab of the Properties dialog box. The fieldshould read something like'C:Program FilesRR-x.y.zbinRgui.exe'--sdi, where x.y.z specifies the version of R you installed. If you wish, change the name of the icon on the Generaltab (e.g., to R x.y.z SDI). Click OK. Alternatively, you canyou can edit the Rconsole file in R's etc subdirectory to select the SDI.

Linux/Unix Installation

Linux/Unix systems typically have all of the software requiredfor building packages already installed. The easiest way to install the Rcmdr package is to run R as root andissue the command install.packages('Rcmdr') at the R prompt. R will ask you to select a CRAN mirror; pick the first, '0-Cloud' mirror, or a mirror site near you.

On Ubutu systems, in particular, the following procedure should work (slightly modified from a suggestion by Ista Zahn):

  1. Add the R repository to Ubuntu (see http://cran.r-project.org/bin/linux/ubuntu/).
  2. Install base R and the R dev package: sudo apt-get installr-base r-base-dev
  3. Start R from the Ubuntu command line as root so you can installpackages system-wide: sudo R
  4. From the R command prompt, install Rcmdr: install.packages('Rcmdr'). R will ask you to select a CRAN mirror; pick the first, '0-Cloud' mirror, or a mirror site near you.

It is also possible to install R and R packages from the Ubuntu package respository but these are almost always out of date.

When you first load the Rcmdr package with the command library(Rcmdr), it will offer to download and install missingdependencies; allow it to do so.

macOS Installation

These instructions are for R version 3.6.1 or later; if you're using an earlier version of R, I suggest that you upgrade (in fact, it's generally a good idea to upgrade to the current version of R), or, failing that, consult the special macOS installation notes for the R Commander under older versions of R. R 3.6.1only supports macOS version 10.11 (El Capitan) or higher. Please read these instructions carefully, as they are a little complicated.

  • Before installing R and the R Commander, make sure that your macOS system is up-to-date by running Software Update from the 'apple' menu at the top-left of the screen. This is important, because R assumes that the system is up-to-date and may not function properly if it is not.
  • Install the current version of Rr from the Comprehensive R Archive Network (CRAN), selecting a mirror site near you; a list of CRAN mirrors appears at the upper left of the CRAN home page.
  • Checkto see whether the X11 windowing system (X Windows) has already beeninstalled on your computer. For OS X 10.6 and 10.7, the file X11.appshould appear in the Utilities folder under Applications in thefinder. This application should always be installed under OS X 10.7. For OS X 10.8 or higher, the file is named XQuartz.app and is no longer included with the operating system. XQuartz.app may also be installed in OS X 10.6 or 10.7. (The R Commander uses the tcltk package for R, which requires X-Windows.)

Note that if and when you upgrade OS X, you will have to reinstall XQuartz even if you installed it previously.

  • If neither X11.app nor XQuartz.app is installed, install XQuartz. In fact, regardless of whether some version of X-Windows is installed on your computer, it shouldn't hurt to install the current version of XQuartz.
    • When you open this file by double-clicking on it, you'll find XQuartz.pkg; double-click on it to run the installer, clicking through all the defaults.
    • After the installer runs, you'll have to log out and back on to your macOS account, or just reboot your computer.
  • StartR by running R.app. At the > command prompt, type the followingcommand and press the return key:

install.packages('Rcmdr')

Rwill ask you to select a CRAN mirror; pick the first, '0-Cloud' mirror, or a mirror site near you.
  • Once it is installed, to load the Rcmdr package, simply issue the command
    library(Rcmdr)
    at the R > command prompt and press return. When you first load the Rcmdr package, it will offer to download and install missingdependencies; allow it to do so.
  • Suppressing 'app nap': Under macOS 10.9 ('Mavericks')or later, the R Commander may slow down or occasionally hesitate to display a menu as your session progresses. This behaviour is due to OS X 10.9 or later saving power by going into 'nap' mode when the R.app window is not visible.I am aware of several solutions (beyond always inconveniently insuring that the top of the R.app window is visible). The first solution is simplest.

    (1) You can suppress app nap via the R Commander Tools -> Manage macOS app nap for R.app menu. Select the radio button to set app nap off in the resulting dialog box. This setting is permanent across R.app sessions until you change it.

    (2) You can avoid the problem by running R in a terminal window rather than using R.app. There really is no reason to prefer running the R Commander in R.app, so using R from a terminal should be perfectly fine .
    • Open the Utilities subfolder inside the Applications folder on your Mac. Click on Terminal.app to open a terminal window.
    • At the Unix command prompt in the terminal window, type R and press the enter (or return) key. On my Mac, the Unix command prompt looks like this: john-fox-mbp:~ jfox$
    • Once R starts up, you'll see the usual initial messages, followed by the R command prompt, >
    • As usual, type library(Rcmdr) at the R prompt and press the enter key.
    • After you exit from the R Commander, you can safely close the terminal window, whether or not you have exited from R.

    (3) You can prevent your computer from napping when R.app is running, even if it's not visible, by right-clicking (or control-clicking) on R.app in the Applications folder in the Finder, and selecting Get Info from the context menu. Check the box next to Prevent App Nap. The change is permanent until you reverse it by unchecking the box. This solution only works with the snowleopard build of R.app.

    (4) Enter the following command in a Mac terminal window at the Unix command prompt:

    defaults write org.R-project.R NSAppSleepDisabled -bool YES

    This is the manual equivalent of solution (1), and is permanent until reversed.

macOS Trouble-shooting

Occasionally, the Rcmdr package will fail to load properly in macOS. When this problem occurs, the cause is almost always the failure of the tcltk package to load --The Rcmdr package depends on the tcltk package. You can confirm this diagnosis by trying to load the tcltk package directly, in a fresh R session, issuing the command library(tcltk)at the R command prompt.

  • If you are running R version 3.1.2, the tcltk package may fail to load with a message like the following. This is due to a bug in R 3.1.2, which assumes that the otool utility is installed on your system, and which fails if it is not. The simplest fix is to install a newer version of R.

    • Error : .onLoad failed in loadNamespace() for 'tcltk', details:
    call: system2('otool', c('-L', shQuote(DLL)), stdout = TRUE)
    error: error in running command
    Error: package or namespace load failed for ‘tcltk’
    sh: otool: command not found

  • If the tcltk package fails to load with a message like the following, then your system has an old version of X-Windows that is incompatible with the version of Tcl/Tk for X-Windows that's distributed with R. The probable solution is to run Mac OS Software Update, as suggested in the steps above -- or just install the current version of XQuartz.

    Error : .onLoad failed in loadNamespace() for 'tcltk', details:
    call: dyn.load(file, DLLpath = DLLpath, ..)
    error: unable to load shared object
    '/Library/Frameworks/R.framework/Versions/3.0/Resources/library/tcltk/libs/tcltk.so':

    dlopen(/Library/Frameworks/R.framework/Versions/3.0/Resources/library/tcltk/libs/tcltk.so,
    10): Library not loaded: /usr/X11/lib/libfreetype.6.dylib
    Referenced from: /usr/local/lib/libtk8.6.dylib
    Reason: Incompatible library version: libtk8.6.dylib requires version
    14.0.0 or later, but libfreetype.6.dylib provides version 13.0.0

  • If the tcltk package fails to load with a message like the following, then your system has inappropriate file permissions set for the /usr/local directory or a subdirectory of it, probably by misbehaving software.

    Error : .onLoad failed in loadNamespace() for 'tcltk', details:
    call: dyn.load(file, DLLpath = DLLpath, ..)
    error: unable to load shared object
    '/Library/Frameworks/R.framework/Versions/3.0/Resources/library/tcltk/libs/
    tcltk.so':
    dlopen(/Library/Frameworks/R.framework/Versions/3.0/Resources/library/tcltk
    /libs/tcltk.so, 10): Library not loaded: /usr/local/lib/libtcl8.6.dylib
    Referenced from:
    /Library/Frameworks/R.framework/Versions/3.0/Resources/library/tcltk/libs/t
    cltk.so
    Reason: no suitable image found. Did find:
    /usr/local/lib/libtcl8.6.dylib: stat() failed with errno=13
    /usr/local/lib/libtcl8.6.dylib: stat() failed with errno=13

You can verify the source of this problem by issuing the following command at the R command prompt:

system('ls -ld /usr/local /usr/local/lib /usr/local/lib/libtcl*')

If there is a file-permissions problem, you should see something like

ls: /usr/local/lib: Permission denied
ls: /usr/local/lib/libtcl*: Permission denied
drwx------ 8 root wheel 272 Sep 24 10:21 /usr/local

Having confirmed the problem, you can change the file permissions in /usr/local by opening a terminal window on your Mac (Terminal.app is in the Applications Utilities folder), and entering the following command at the $ prompt in the terminal window:

    sudo chmod -R a+rX /usr/local

The operating system will ask you to supply your password to execute this command.

If you are using macOS 10.9 ('Mavericks') or later and the R Commander becomes slow or unresponsive, you can run R and the R Commander in a terminal window on your Mac rather than from R.app or prevent your computer from 'napping' while R.app is running. See the installation notes above.

Installing Optional Pandoc and LaTeX Software

Installing R and the Rcmdr package is sufficient for creating HTML (web page) reports via the R Markdown document that the R Commander builds for each session, but if you prefer to create editable Word or Open Office documents or PDF files for reports, you will have additionally to install Pandoc and LaTeX (the latter, in conjunction with Pandoc, for PDF reports). The most convenient way to do this is via the R Commander Tools > Install auxiliary software menu (which appears only if Pandoc or LaTeX is absent).

Last modified: 2019-09-03 by John Fox <jfoxAT mcmaster.ca>.