![]() ![]() Note: Repeatability isn’t the same as reproducibility. Including versions is also really important as a way of recording the context of your manuscript It not only helps other scientists understand and repeat your work, but helps share important and useful tools. Software (like R), R packages, and their versions are important information to include in a manuscript. The lack of citations of software in scientific publications has become a problem to the extent that working groups, such as FORCE11 Software Citation Implementation Working Group, have been created to establish guidelines 2 and standards 3 for citing software. If it isn’t clear how you did a thing or how/where you got your data, your work isn’t repeatable. It’s important that the developers get credit for their work 1. If we want to ensure that high-quality open software continues, This makes it hard to prioritize work on open software projects. Without citations, most scientists don’t get credit for their work. They may be developing packages in their own time, or are trying to fit it into a busy schedule. Many developers of R packages for science are themselves scientists. It’s extremely important to cite both R and R packages for several reasons: So here’s a short primer on why and how to get started! □ Many scientists don’t know that they should be citing R packages let alone R,Īnd, if they do know, they often struggle with how. ![]() That they often forget or aren’t aware of the next steps. Or remembering where to put the comma, they’re so grateful to actual have an analysis, I find that after all their struggles of dealing with dates, students)Īs well as more established scientists, new to R. ![]() I teach R to a lot of scientists, those that are new to science (i.e. ![]()
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