How Do I Download R For Mac

02.04.2020by admin

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

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Aug 09, 2017 2. Click on Download R for (Mac) OS X. Click on Download R-3.5.1.pkg (or a newer version) or you use the following direct link: R-3.5.1.pkg. Download RStudio Desktop for mac. Dec 12, 2019 Many R users who have used other software report that they can do their data analyses in a fraction of the time. Graphics and data visualization. One of the design principles of R was that visualization of data through charts and graphs is an essential part of the data analysis process. Get more done with the new Google Chrome. A more simple, secure, and faster web browser than ever, with Google’s smarts built-in. Download now. Office 365 customers get the new Office for Mac first. You’ll have Office applications on your Mac or PC, apps on tablets and smartphones for when you're on the. Yes, you can run R on a Mac. Just follow this step:. Get R:. Go to. If you’re on a recent version of OS X, download the. Mac Users To Install R. Open an internet browser and go to www.r-project.org. Click the 'download R' link in the middle of the page under 'Getting Started.' Select a CRAN location (a mirror site) and click the corresponding link. Click on the 'Download R for (Mac) OS X' link at the top of the page.

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.

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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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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

I have fallen in love with the R language and tool set over the last few weeks. I find that getting outside my comfort zone and learning new tools can always spur creativity and the open source community has a great many tools just waiting to be discovered. The fact that there is a free option for RStudio provides a powerful analysis tool to organizations without taking a large hit to the budget.

R is a statistical computing and graphics language and is available as free software under the GNU general public license. RStudio is a free and open source integrated development environment that puts a user interface over the R command line back end. The combination of the two provides a powerful data analysis toolset.

The tools are more command line and have a programming style rather than a point and click tool such as Microsoft’s Excel. This tool would appeal to the power user analyst or a user with more of a programming background.

R Studio

R has a Very Active Community

The trouble with adding open source software to your workflow is making sure that the tool is active and being updated on a regular basis. The main criteria I look for is based on how large and active the community around the tool is.

Do people have a passion for the software?
Is there an active community?
When was the last update?
How often has the software been updated?

R has a large active community and provides functions and extensions to the tool set through external libraries which can be imported as you need and discover them.

Installing R & RStudio on a Mac

The installation on a Mac is simple and straight forward. There are 2 installations that are required, the R language and the RStudio front end. You can install a desktop or server version, however I find for personal use the desktop install and user experience easier to manage.

Step 1 – Installing R

RStudio requires R version 2.11.1 or higher which can be downloaded here; http://cran.rstudio.com/ . There will be 3 versions listed, select the “Download the R for (Mac) OS X” version by first selecting the option below.

This will take you to the binaries page. 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

The RStudio desktop version can be found here, https://www.rstudio.com/products/rstudio/#Desktop . There is an open source version and a purchased version that includes various options and support.

The icon above takes you to the various desktop versions, select the Mac OS X version.

Once Downloaded, double click on the RStudio package.

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Drag the RStudio icon to the Application Folder

On my machine, I have an older version, you can select ‘Replace’ to only keep the new version.

In Launch Pad, Type in R in finder, you will see both R and RStudio. Select RStudio and the following message is displayed, Select Open to run RStudio

Step3 – Try it out

RStudio is now displayed. You get the option to see a demo which will allow us to see if all is working correctly.
Type the following 2 lines of code in the console and press enter;
X = rnorm(200) Plot(x)

RStudio is now installed and ready for your analysis.

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Resources available

There are many resources and tutorials that can be used to learn more about using the R language, I have listed a few below.