- #HOW TO UPDATE R ON MAC HOW TO#
- #HOW TO UPDATE R ON MAC MAC OSX#
- #HOW TO UPDATE R ON MAC INSTALL#
- #HOW TO UPDATE R ON MAC CODE#
- #HOW TO UPDATE R ON MAC WINDOWS#
this activity will be performed using the command line command installer. The last step is the actual installation of the R version package. the first of those two steps will be performed leveraging built-in function download.file() :
#HOW TO UPDATE R ON MAC INSTALL#
I will probably (hopefully) develop this within next releases, and collaboration on this would be really welcome.Īfter defining the download URL we can actually proceed with downloading the package and install it. One thing still missing here is the comparison between version installed on the maching calling the function and the retrieved version on CRAN. This URL is composed pasting the CRAN mirror url togheter with the filename object: url <- paste(page_source,filename, sep = "")
#HOW TO UPDATE R ON MAC CODE#
UpdateR does it importing in R the html code of the rstudio CRAN mirror page ( ) and extracting from it the version number.įilename % strsplit("\n", fixed = TRUE) # the resulting value is a listįilename <- filename] # we take the second element, containing the name of the fileįilename_quoted <- paste("'",filename,"'",sep = "")īe aware that resulting filename object will be a string similar to the following : “R-xx.xx.xx.pkg”, since we are looking to compose a download URL for the version package on our machine. How would you programmatically check for the latest R version?
#HOW TO UPDATE R ON MAC MAC OSX#
That said, the updateR function workflow can be summarized into the following steps: verify that user is running a unix machineĪs said, updateR is a package thought as a OSX twin of Tall galili installr package and can therefore be run only on Mac OSX machines.įollowing this updateR takes care of verifying that you are launching it from a unix OS, running the stopifnot() function in order to alt the execution on non-unix systems:
behind the scenes: how updateR worksĪs experimented with Ramazon package, which allows you to publish your shiny app on amazon AWS with a function, I developed updateR mainly leveraging the system() function, which lets you pass commands to the command line directly from the R environment.
That is all you need to know to use updateR.īy the way If you want to know more on how the function works, have a look at the following paragraphs. Open a Terminal session and run 'R' to assert that latest version was installed Since every command launched in background (see below for more infos) is passed with verbose option on, you will suddenly see your console being populated of output messages informing you on how things are going on.Ī the end of the installation process those two lines should appear:
#HOW TO UPDATE R ON MAC HOW TO#
How to update R version using the updateR packageĪs seen, updating R version from R is actually a breeze: you just need to run a function.Īll you will need to do is retrieve your MAC admin user password and then run the two following lines of code: Install_github('andreacirilloac/updateR') You will therefore have to install it leveraging the install_github() function from devtools package: Short paragraphs which follow shows you how to install and use the package. This password is required because some of the command executed by updateR() are run as super user (for advanced readers we are talking of our old “sudo” friend). That is to say you will only have to provide admin user password. UpdateR(admin_password = "os_admin_user_password") That is why I developed updateR, a package that let’s you update your R version from R itself just running the following line of code: Mac version of updateR function: the UpdateR package
#HOW TO UPDATE R ON MAC WINDOWS#
The only issue with this function is that it works only on Windows Operating systems. YOU CAN FIND THE UPDATED AND MAINTAINED ONE AT http: //I personally really appreciate the InstallR package from Tal galilli, since it lets you install a great number of tools needed for working with R just running a function.Īmong these functions one of my favourite is the updateR()* function which checks for new versions of R language and in case of positive response installs it on your machine.
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