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Free statistical software: EZR on R commander R is a free software environment for statistical computing and graphics.R supports many functions for statistical analyses, but it does not incorporatestatistical graphical user interface (GUI). The R commander provides aeasy-to-use basic-statistics GUI to R based on Tcl/Tk language. However,the statistical function of the R commander is limited, especially in thefield of biostatistics. Therfore, we added statistical functions, includingsurvival analyses, ROC analyses, metaanalyses, sample size calculation,and so on, to the R commander. We named it 'EZR' (Easy R) andwe are distributing it on this page. EZR can import Excel files, CSV files,Stata files, and so on. EZR is now available on CRAN (The Comprehensive R Archive Network) as 'RcmdrPlugin.EZR' package. Contact address: Yoshinobu Kanda, M.D., saitama-hem@jichi.ac.jp.
Statistical functions of EZR

A complete manual of EZR is available only in Japanese (Chugai Igakusha,ISBN978-4-498-10901-8), but a report that introduced the investigationof EZR was published in Bone Marrow Transplantation (Nature PublishingGroup) as an Open article. It can be freely downloaded from the journal website (Kanda Y. Investigation of the freely available easy-to-usesoftware ‘EZR’ for medical statistics. Bone Marrow Transplantation 2013:48,452-458 advance online publication 3 December 2012; doi: 10.1038/bmt.2012.244). This paper has been cited in more than 4000 articles at September, 2020.
Please cite this report as a reference for scientific papers in whichEZR is used as a statistical software.
　In addition, Professor Minato Nakazawa (Kobe Univ. Grad. School Heallth Sci.) is providing an excellent manual for the use of R and EZR in medical statics on his homepage. It can be downloaded from the link below. (He told me that there may be some typos and mistakes, which will be fixed in the future.)
Medical Statistics for Gunma Univ. Graduate School of Medicine
Sample data set that includes 93 fictional patients who received allogeneicstem cell transplantation for acute leukemia.
sample.csv

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

To download the software, you must agree to the terms in that download. R is an open-source implementation of the S language. As described on the R project homepage: 'R is a system for statistical computation and graphics. It consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions,. R is an Open source or Free Software environment for Graphics and statistical computing. R is available on a wide variety of platforms such as Mac OS, UNIX, and Windows. In this article, we show from where or How to download R Software with screenshots. The following are the steps involved in R Software download. Wizard is easily our favorite statistical analysis software for Mac simply because it makes it.

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 R Project for Statistical Computing Getting Started. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror.

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')

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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):

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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

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

update.packages(checkBuilt=TRUE)

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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