![]() ![]() Open your Applications folder and double-click the macOS installer, named Install. pkg file, then follow the onscreen instructions to install the macOS installer into your Applications folder. dmg file to open it and see the package (.pkg) file within.ĭouble-click the. I’m a big fan of Arrow - which should come as no surprise as I’ve recently started work at Voltron Data - but if you’re installing the arrow R package on linux, it’s extremely time consuming to build all the C++ libraries from source.Use these links to download a macOS disk image (.dmg) file.ĭouble-click the. For example, in my previous blog post I wrote about my experiences getting started using Apache Arrow. If you’re a Windows or Mac user, you might not be aware of how much of a game changer this is for linux users. Obviously, you’re very unlikely to want to use my R-universe repository since it only consists of a handful of my own packages: but it’s quite handy for me since they aren’t all on CRAN! Epilogue Finally, if that fails, it looks to see if the package I’m requesting is one of the packages I listed at, my very own tiny corner of the R-universe. If that fails, it checks CRAN in the usual way. If that fails it will try to install from RStudio PPM by building the package from the source code. Using this configuration, R will look for a suitable binary version of the package on RStudio PPM. Options( repos = c( binary = "", source = "", CRAN = "", djnavarro = "" )) You’ll see a screen that looks like this: When the popup window appears, click on Packages. Go to the RStudio Tools menu and select Global Options. If you’re using RStudio, the easiest way to switch to RStudio PPM is to change your settings inside RStudio. I’m so glad you asked, dear reader, because it’s so much easier than it sounds. ![]() “But how do I try it out, Danielle?” I hear you ask. For my purposes, however, the attractive property is that it hosts binaries suitable for Ubuntu and other flavours of linux. It has broader coverage, for instance: it includes R packages on Bioconductor as well as packages on CRAN. RStudio package manager provides a modern alternative: it works like a CRAN mirror, but it has a lot of additional functionality. In fact, if you’re using RStudio you’ve probably been using this service all along. It’s considerably simpler now, because you can use the service that automatically directs you to an appropriate server. It’s more like a whole network of mirrors distributed all over the world, and you’d have to manually choose which one you wanted to install packages from. In those dark years I had to spend a lot of time explaining to students that CRAN - the comprehensive R archive network - isn’t actually a single website that contains lots of R packages. Many of the little niceties that RStudio users now take for granted didn’t yet exist. Anyone can configure R to install packages from the RStudio public package manager, if they want to.īut first a tiny bit of context… back in the distant part there was this strange, nightmarish time where I was teaching students R, but RStudio was not yet a thing. I’d sort of known that this existed as an option, but it wasn’t until today that I realised that - in addition to the fancy commercial options - RStudio maintains a public package manager as a free service: the FAQ page is here. ![]() ![]() Recently, however, I have become aware that a better world is possible thanks to the magic of RStudio package manager. This is both time consuming and frustrating, and very often you have to go hunting around to discover what other system dependencies need to be installed. The problem that linux users face is that CRAN does not maintain binaries for linux, so every time a linux user wants to install a package, it has to be built locally from the source code. I’m sure every linux-based R user shares my pain and needs no explanation, but some of the gentler souls who use Windows or Mac OS may not be aware of how tiresome package installation is on linux. Yay me!Įquipped with my fabulous new operating system, my next steps were to install R and RStudio, and for the first time in my life I was smart enough to remember to install the latest version of git along with the build-essential packages that I’m pretty much guaranteed to need the moment I need to build anything from source. These days that’s a pretty easy task, and the Ubuntu installer was even thoughtful enough to give me an option to enable full disk encryption. My gorgeous little Dell XPS 13 shipped with Windows 11, and while I do quite like Windows these days, I’ve become very accustomed to working in linux, so my first task was to install Ubuntu 20.04. I remain in love right up the moment I remember that with new work laptop comes the peculiar torture of setting up the machine. Pristine and beautiful in its factory-fresh state. ![]()
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