vurjersey.blogg.se - Rstudio install package

The bigger picture is that package installation time is starting to become more of an issue for a number of reasons. In the packages video in the free R Basics course you will see an example about how to download and activate a package in Rstudio.Every few weeks or so, a tweet pops up asking about how to speed up package installation in Rĭepending on the luck of twitter, the author may get a few suggestions. Usually I would go for the easiest way which in this case is the box ticking in the packages section. Like in nearly any application in R/Rstudio there are several ways how you can get your required result. This method can be seen as a click based library() command.

you click the needed package in R-Studio – this one is the safest way because you know that the package is available, you see if it is activated, you get a brief description and you also see the version of the package.If the package is not installed on your computer, it might be harder to identify the error source.

Although if you run longer and complicated scripts with nested functions, use the library function.

you use the command require() – this one can be used.

you use the command library() – this is the most common way.

And there are several ways of how you can do that. You need to attach/load/activate (synonyms) the package. If you have the package on your computer, it is not ready to use yet. How to load a package in R – different methods explainedįor downloading, you would simply use the install.packages(‘ ‘) command.Īlternatively, you would go to the packages field in Rstudio, click install packages, choose the package and click install. Some packages gained enormous popularity like ggplot2 (graphs) or shiny (web apps), some lack in quality or are highly specific. May it be a given scientific field, some social media research tool or business data analysis – if it is about data, there is an R package for it. Packages are written from any willing contributor for nearly any purpose. You might know that there are a ton of extra packages which you can download from R repositories. Some scripts she had to work with contained the library() command, while others worked with require().

Recently I received a question from a student. She was confused about how to load a package in R.