How do I find citations in R packages?

How do I find citations in R packages?

citation() To cite R in publications use: R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.

How do you check if a specific package is installed in R?

Here’s some code that provides an easy way to check whether specific packages are in the default Library. If they are, they’re simply loaded via library() ….check() function basically goes:

  1. Using lapply() to the list of packages.
  2. If a package is not installed, install it.
  3. Otherwise, load it.

How do I check R package data?

Here is how to locate the data set and load it into R. Command library loads the package MASS (for Modern Applied Statistics with S) into memory. Command data() will list all the datasets in loaded packages. The command data(phones) will load the data set phones into memory.

Do you have to cite R packages?

A reasonably useful R package is likely to impact many more people than any “real” publication, but that person gets no credit if you don’t cite it. Absolutely! Citations are free, and they are a blessing to the creators of those packages.

How do I know what version of R?

To find out your current version, open R and it will be shown in the console. If you are using RStudio you can check you R version by clicking on Tools>Global Options… yep my current version is now R-3.3.

Should I cite R or RStudio?

RStudio has a collection of developers who have made your work possible. Cite them. R is a language so it is, perhaps, less important to cite it. But if it has features that are important to your work, cite it.

Where does R install packages?

R packages are installed in a directory called library. The R function . libPaths() can be used to get the path to the library.

Does R CMD check build package?

An important part of the package development process is R CMD check . R CMD check automatically checks your code for common problems.

What is the newest version of R?

R 3.6. 2, the latest update to the R language, is now available for download on Windows, Mac and Linux. As a minor release, R 3.6. 2 makes only small improvements to R, including some new options for dot charts and better handling of missing values when using running medians as a smoother on charts.

How do I upgrade to latest version of R?

How to Update R. The easiest way to update R is to simply download the newest version. Install that, and it will overwrite your current version. There are also packages to do the updating: updateR for Mac, and installr for Windows.

How do I install packages in R?

Alternatively, you can install R packages from the menu.

  1. In RStudio go to Tools → Install Packages and in the Install from option select Repository (CRAN) and then specify the packages you want.
  2. In classic R IDE go to Packages → Install package(s) , select a mirror and install the package.

How do I install multiple packages in R?

packages() function. You can install multiple packages by passing a vector of package names to the function, for example, install. packages(c(“dplyr”, “stringr”)) . That function will install the requested packages, along with any of their non-optional dependencies.

What should be included in a package in R?

A package is a suitable way to organize your own work and, if you want to, share it with others. Typically, a package will include code (not only R code!), documentation for the package and the functions inside, some tests to check everything works as it should, and data sets.

Is it free to cite all are packages I used?

Citations are free, and they are a blessing to the creators of those packages. Unless you’re held to a strict page limit, there’s no reason not to have a “methods” section in which you list all of the packages you used.

Where can I find reproducible code in R?

The full reproducible code is available in Supplementary Materials. Then, in Supplementary Materials, you show the packages and functions you used. Moreover, in R, you can include (usually at the end) every used package and their version using the function. How should I cite it? Finding the right citation information is sometimes complicated.

Why do I need a base version of R?

The base version of R that is downloaded allows the user to get started in R, but anyone performing data analysis will quickly exhaust the capabilities of base R and need to install additional packages. Here are some basic commands for managing R packages. Which packages do I already have?