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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')
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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)
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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
Latest Version:
R-Studio 6.3 build 5571 LATEST
The software’s language and the available options are more technical and you will get all the information right on your computer’s screen during the process.On the other hand, the navigation of the software is pretty friendly. The software goes through the same process and the colors of the blocks are kept on changing.If we talk about professionalism, the software is developed for technical persons who can get the right information about the files and data. Rstudio for mac. You will be guided through various processes while using this software with different dialogues. This visual feedback helps the user to recognize which files are being recovered and which are still pending.
Requirements:
Mac OS X 10.6 or later
Author / Product:
R-Tools Technology Inc. / R-Studio for Mac
Old Versions:
Filename:
RStudio6_i.dmg
MD5 Checksum:
08aa97d1903c05095b4ca783dd00d6b5
Details:
R-Studio for Mac 2019 full offline installer setup for Mac
In addition to being a full-featured data recovery utility, R Studio also includes: An advanced RAID reconstruction module. A feature-rich text/hexadecimal editor. An entire advanced disk copying/imaging module in one single piece of software, which makes R-Studio for Mac your ideal complete solution for creating a data recovery workstation.
Empowered by the new unique data recovery technologies, RStudio for macOS is the most comprehensive data recovery solution for recovery files from NTFS, NTFS5, ReFS, FAT12/16/32, exFAT, HFS/HFS+ and APFS (Macintosh), Little and Big Endian variants of UFS1/UFS2 (FreeBSD/OpenBSD/NetBSD/Solaris) and Ext2/Ext3/Ext4 FS (Linux) partitions. It also uses raw file recovery (scan for known file types) for heavily damaged or unknown file systems. It functions on local and network disks, even if such partitions are formatted, damaged or deleted. Flexible parameter settings give you absolute control over data recovery.
Features and Highlights
R For Mac Os X
- Standard 'Windows Explorer' - style interface.
- Data recovery over Network. Files can be recovered on network computers running Win95/98/ME/NT/2000/XP/2003/Vista, Linux and UNIX.
- Supported file systems: FAT12, FAT16, FAT32, NTFS, NTFS5 (created or updated by Win2000/XP/2003/Vista), Ext2FS/Ext3FS (Linux), UFS1/UFS2 (FreeBSD/OpenBSD/NetBSD).
- Recognition and parsing Dynamic (Windows 2000/XP/2003/Vista/7/8/Windows 10), Basic and BSD (UNIX) partitions layout schema.
- Damaged RAID recovery. If OS cannot recognize your RAID, you can create a virtual RAID from its components. Such virtual RAID can be processed like a real one.
- Creates IMAGE FILES for an entire Hard Disk, Partition or its part. Such image files can be processed like regular disks.
- Data recovery on damaged or deleted partitions, encrypted files (NTFS 5), alternative data streams (NTFS, NTFS 5).
- FDISK or other disk utilities have been run;
- VIRUS has invaded; FAT is damaged; MBR is destroyed.
- Recognizes localized names.
- Recovered files can be saved on any (including network) disks accessible by the host operating system.
- File or disk content can be viewed and edited in the hexadecimal editor. The editor supports NTFS file attribute editing.
R Statistical Software For Mac Download
Note: Limited functionality in demo version.
Also Available: Download R-Studio for Windows