A new version of R-Studio for Mac is available for download.
New features:

Of course to check what your R Studio version is you just need to click on the Help menu item and then click on “About RStudio”. To update R, go to CRAN and download the latest version and run the install. When you restart RStudio or R Console it should automagically detect and use the new R version. RStudio for Mac. 3,751 downloads Updated: September 20, 2020 GPL. Description Free Download features 100% FREE report malware.

R-Studio runs on Mac, Windows, and Linux. and can recover data from local disks, removable disks, heavily corrupted disks, unbootable disks, clients connected to a local area network or the Internet. As a highly scalable, flexible, and deployable data recovery solution, R-Studio is an invaluable tool for data recovery operations large and small.

To install R on a Mac, click the “Download R for Mac” link. Next, click on the R-3.0.3 package link (or the package link for the most current release of R). An installer will download to guide you through the installation process, which is very easy. Download the R-3.2.3.pkg, which is the latest version as of this blog post. The package will download and double click to install. The installation is straight forward, select ‘Continue’ and follow the prompts. The R backend is now installed and we can move to installing RStudio. Step 2 – Installing R Studio.

+ Get Info panel has been added to the Content pane. Detailed information about a selected file. Extended file information in the Technician version like disk regions, overlapping files, etc.
+ Advanced options have been added to file recovery lists in the Technician version: specific file system info, overlapping files, disk regions, etc.
Improvements:
* Files in Extra Found Files (raw files) can now be automatically excluded from recovery if they are duplicates of files found in the real file system.
* Support for NTFS cluster sizes from 128KB to 2MB has been added.
* The algorithm for estimation of file recovery probability has been improved.
* Memory usage has been optimized and debugged.
* The Reset button has been added to the RAID Parents tab. It resets RAID parameters to those set by the Apply button.
* LVM processing has been improved.
Bug-fixes:
- R-Studio may have temporally frozen when opening an NTFS partition with many compressed files. Fixed.
- R-Studio may have opened APFS partitions with many files for a long time. Fixed.
- The Find Previous Version of the File command may have worked incorrectly. Fixed.
- Mask presets may have loaded incorrectly. Fixed.
- Date may have changed incorrectly in the File Mask dialog box. Fixed.
- Multiple files that occupy the same sector may have been shown incorrectly in Text/hexadecimal editor. Fixed.
- If files were manually unmarked, they could not be marked for recovery using the File/Mark dialog box. Fixed.
- Existing files may have been shown as deleted in cross-linked folders on FAT32 partitions. Fixed.
- Some file dates may have been saved to File Mask presets incorrectly. Fixed.
- R-Studio may have crashed when opening disk images. Fixed.

R-studio For Mac 10.10

- The Show Files command in Text/hexadecimal editor may have stopped working if file region enumeration was interrupted by the user. Fixed.
- The Details/Icons view may have switched incorrectly when switching opened partitions. Fixed.
- Units in the Size fields on the Find/Mark dialog box were always reset to Bytes. Fixed.
- R-Studio may have frozen or crashed when the Reopen Drive Files button was quickly clicked several times. Fixed.
- Sometimes mdadm RAIDs could not be automatically assembled from images. Fixed.
- The Apply changes immediately option could be enabled only on the second attempt. Fixed.
- Any changes in fthe Block order table defaulted all other RAID parameters. Fixed.
- R-Studio may have frozen when one LDM disk was disconnected and the Reassemble button was clicked.
- R-Studio may have crashed when Text/Hexadecimal was opened from the Block information window when working with DDI. Fixed.
- Empty sequences were generated in the Sequences window when the Custom RAID type was selected. Those sequences could not be deleted. Fixed.
- The last valid RAID block order table was saved rather than the current invalid table. Fixed.
- The Get Info window showed wrong file info when sorting had been changed. Fixed.
- Clicking an empty space on the Get Info window opened Hexadecimal editor. Fixed.
- Files remained marked when files were recovered with the Do not recover duplicate files from Extra Found Files option enabled. Fixed.
- Not all information on Overlapping files and Regions when saving file names. Fixed.
- The Find/Mark dialog box didn't preserve selections for the Look At Files/Folders option. Fixed.

R-studio 3.6 Download Mac Installer

- A file and folder may have the same ID on the time/extension sorting tabs. Clicking such object may have resulted in jumping to another object with the same ID. For example, to a file with an ID randomly coinciding with the ID of a folder. Fixed.
- Saving file names for marked files didn't save names for files with links in their paths. Only link name was saved without files in the related folder. Fixed.
- Some small interface and cosmetic bugs have been fixed.

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.

/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