R commander (Rcmdr)
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R provides a powerful and comprehensive system for analysing data and when used in conjunction with the R-commander (a graphical user interface, commonly known as Rcmdr) it also provides one that is easy and intuitive to use. Basically, R provides the engine that carries out the analyses and Rcmdr provides a convenient way for users to input commands. The Rcmdr program enables analysts to access a selection of commonly-used R commands using a simple interface that should be familiar to most computer users. It also serves the important role of helping users to implement R commands and develop their knowledge and expertise in using the command line --- an important skill for those wishing to exploit the full power of the program.
Information about installing R can be found on the web at the R homepage http://www.r-project.org/ which provides lots of information about the R project and also directs users to one of the CRAN sites (the Comprehensive R Archive Network) that have been set up on many servers across the world in order for users to download the software. CRAN provides all files necessary to install R on a number of different computing platforms (Linux, MacOS X and Windows) along with detailed information about installation and also offers manuals and contributed documentation in a number of langauges and for a number of specific disciplines.
Definitive information about the Rcmdr can be found at it's author's (John Fox) webpage:
R commander Plugins (RcmdrPlugin)
RcmdrPlugin.BCA | Rcmdr Plug-In for Business and Customer Analytics |
RcmdrPlugin.coin | Rcmdr Coin Plug-In |
RcmdrPlugin.depthTools | R commander Depth Tools Plug-In |
RcmdrPlugin.doBy | Rcmdr doBy Plug-In |
RcmdrPlugin.DoE | R Commander Plugin for (industrial) Design of Experiments |
RcmdrPlugin.doex | Rcmdr plugin for Stat 4309 course |
RcmdrPlugin.EACSPIR | Plugin de R-Commander para el manual EACSPIR |
RcmdrPlugin.EBM | Rcmdr Evidence Based Medicine Plug-In package |
RcmdrPlugin.epack | Rcmdr plugin for time series |
RcmdrPlugin.EZR | R Commander Plug-in for the EZR (Easy R) Package |
RcmdrPlugin.HH | Rcmdr support for the HH package |
RcmdrPlugin.IPSUR | An IPSUR Plugin for the R Commander |
RcmdrPlugin.KMggplot2 | Rcmdr Plug-In for Kaplan-Meier Plots and Other Plots Using the ggplot2 Package |
RcmdrPlugin.mosaic | Adds menu items to produce mosaic plots and assoc plots to Rcmdr |
RcmdrPlugin.MPAStats | R Commander Plug-in for MPA Statistics |
RcmdrPlugin.orloca | orloca Rcmdr Plug-in |
RcmdrPlugin.plotByGroup | Rcmdr plots by group using lattice |
RcmdrPlugin.qcc | Rcmdr qcc Plug-In |
RcmdrPlugin.qual | Rcmdr plugin for quality control course |
RcmdrPlugin.SCDA | Rcmdr plugin for designing and analyzing single-case experiments |
RcmdrPlugin.seeg | Rcmdr Plugin for seeg |
RcmdrPlugin.SLC | SLC Rcmdr Plug-in |
RcmdrPlugin.SM | Rcmdr Sport Management Plug-In |
RcmdrPlugin.StatisticalURV | Statistical URV Rcmdr Plug-In |
RcmdrPlugin.steepness | Steepness Rcmdr Plug-in |
RcmdrPlugin.survival | R Commander Plug-in for the survival Package |
RcmdrPlugin.TeachingDemos | Rcmdr Teaching Demos Plug-In |
RcmdrPlugin.temis | Graphical user interface providing an integrated text mining solution |
RcmdrPlugin.UCA | UCA Rcmdr Plug-in |
A number of plugins are available that provide direct access to R packages through the Rcmdr interface. These plugins are installed in the same way as for other R packages (for information about installation see www.UsingRcmdr.com) and can be loaded via the R-console or by using the Rcmdr menus `Tools, Load Rcmdr plugin(s)..'. There are currently 29 Plugins that provide support for specific analyses, graphics, books and teaching. Full information about the Plugins can be obtained by following the links provided in the table..
Using the Rcmdr in conjunction with the Rstudio.
Rcmdr integrates with Rstudio
Further information and resources.
Forthcoming book (due out in 2013): Data Analysis using R and the R commander. Hutcheson, G. D. Sage Pulications.
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. Free downloads for macbook pro. 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
R Studio 3.2.2 Download Mac Version
Similar to installr, updateR is the package to help updating R on Mac OS.
RcmdrPlugin.BCA | Rcmdr Plug-In for Business and Customer Analytics |
RcmdrPlugin.coin | Rcmdr Coin Plug-In |
RcmdrPlugin.depthTools | R commander Depth Tools Plug-In |
RcmdrPlugin.doBy | Rcmdr doBy Plug-In |
RcmdrPlugin.DoE | R Commander Plugin for (industrial) Design of Experiments |
RcmdrPlugin.doex | Rcmdr plugin for Stat 4309 course |
RcmdrPlugin.EACSPIR | Plugin de R-Commander para el manual EACSPIR |
RcmdrPlugin.EBM | Rcmdr Evidence Based Medicine Plug-In package |
RcmdrPlugin.epack | Rcmdr plugin for time series |
RcmdrPlugin.EZR | R Commander Plug-in for the EZR (Easy R) Package |
RcmdrPlugin.HH | Rcmdr support for the HH package |
RcmdrPlugin.IPSUR | An IPSUR Plugin for the R Commander |
RcmdrPlugin.KMggplot2 | Rcmdr Plug-In for Kaplan-Meier Plots and Other Plots Using the ggplot2 Package |
RcmdrPlugin.mosaic | Adds menu items to produce mosaic plots and assoc plots to Rcmdr |
RcmdrPlugin.MPAStats | R Commander Plug-in for MPA Statistics |
RcmdrPlugin.orloca | orloca Rcmdr Plug-in |
RcmdrPlugin.plotByGroup | Rcmdr plots by group using lattice |
RcmdrPlugin.qcc | Rcmdr qcc Plug-In |
RcmdrPlugin.qual | Rcmdr plugin for quality control course |
RcmdrPlugin.SCDA | Rcmdr plugin for designing and analyzing single-case experiments |
RcmdrPlugin.seeg | Rcmdr Plugin for seeg |
RcmdrPlugin.SLC | SLC Rcmdr Plug-in |
RcmdrPlugin.SM | Rcmdr Sport Management Plug-In |
RcmdrPlugin.StatisticalURV | Statistical URV Rcmdr Plug-In |
RcmdrPlugin.steepness | Steepness Rcmdr Plug-in |
RcmdrPlugin.survival | R Commander Plug-in for the survival Package |
RcmdrPlugin.TeachingDemos | Rcmdr Teaching Demos Plug-In |
RcmdrPlugin.temis | Graphical user interface providing an integrated text mining solution |
RcmdrPlugin.UCA | UCA Rcmdr Plug-in |
A number of plugins are available that provide direct access to R packages through the Rcmdr interface. These plugins are installed in the same way as for other R packages (for information about installation see www.UsingRcmdr.com) and can be loaded via the R-console or by using the Rcmdr menus `Tools, Load Rcmdr plugin(s)..'. There are currently 29 Plugins that provide support for specific analyses, graphics, books and teaching. Full information about the Plugins can be obtained by following the links provided in the table..
Using the Rcmdr in conjunction with the Rstudio.
Rcmdr integrates with Rstudio
Further information and resources.
Forthcoming book (due out in 2013): Data Analysis using R and the R commander. Hutcheson, G. D. Sage Pulications.
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. Free downloads for macbook pro. 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
R Studio 3.2.2 Download Mac Version
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 Notepad++ mac download free.
(credit goes to RyanStochastic and micstr):
1. Move all folders from your old R version to new R version.
/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
R-studio For Mac
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
R Studio Mac Os
version
packageStatus()
R Studio 3.2.2 Download Mac Download
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