Often, we will be able to install packages with the install.packages() function. For instance, the dada2 package has it’s recommended method of installation right at the top of its documentation. So that’s the first place we should start whenever possible. Keep in mind that the best way to install something is generally going to be the way the package documentation recommends. Here we’ll cover the 3 main ways for installing packages. To use a package, we fist need to install, if we don’t have it yet, and then load it. Packages are typically maintained at the Comprehensive R Archive Network (CRAN) and/or at Bioconductor. People share bundles of code that perform specific tasks through what are known as “packages”. Part of what makes R so valuable is that there is an enormous community of people developing software packages for it. I’d start there (or here first if new to conda), though the below may still be helpful if a specific package you need isn’t available through conda. You can learn about installing and managing R and RStudio with conda on this page. You can either download the Rallfun file, or you can install the WRS package.
Now that that is possible, it’s generally easier to create new environments with the wanted version of R and needed packages that way, rather than installing a system-wide R and installing packages in there as done below. At the top of the web page you will see Search GitHub. This page was initially put together before conda became a viable way to manage R environments.
0 kommentar(er)
