R-Studio for Mac is powerful and cost-effective data recovery software for Apple lovers. Additional file recovery algorithm increases the quality of file recovery and recovers files not recognized in file system metadata.

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• Checked
  06 / 03 / 2017
• R-tools Technology
  www.r-tt.com

R-Studio for Mac is powerful and cost-effective data recovery software for Apple lovers. Additional file recovery algorithm increases the quality of file recovery and recovers files not recognized in file system metadata. Dynamic disk and RAID (including RAID 6, RAID10 (1+0), RAID1E, RAID5E, RAID5EE, and RAID6E) are supported as well as recovering encrypted files, compressed files and alternative data streams. Automatic RAID parameter recognition for RAID5 and RAID6 was added in 4.0 version. Files and file systems structures (NTFS/FAT boot sectors, MFT file record, MBR, LDM structures, etc) can be viewed and edited in the professional disk hex editor. In addition to byte to byte copy of any object visible in the Drives panel, smart copy of partitions and hard drives with size and offset adjustment is available. Reverse RAIDS support enables the user to decompose a real disk object into a virtual RAID. Now R-Studio displays S.M.A.R.T. attributes for hard drives to show their hardware health and predict their possible failures. Extended Viewer Plugin allows viewing a content of the found files to estimate recovery chances prior to purchasing. Flexible parameter settings give you absolute control over data recovery.

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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

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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.

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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.

/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.

R-studio For Mac Serial

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