The second post in the Scientist’s Guide to R series covers everything you need to know to get started with importing data from a variety of sources (.csv, .txt, .xlsx, etc) into R. Click here to read the full post.
This tutorial will be the first of many blog posts for new researchers and science program students/trainees on how to use R as an analytical and productivity tool in the process of conducting scientific research. Click here for the full post.
In the 5th post of the Scientist’s Guide to R series we explore using the tidyr package to reshape data. You’ll learn all about splitting and combining columns and how to do wide to long or long to wide transformations. Click here for the full post.