Handling raw towards consistent data is a crucial step in your research. This should be done thoroughly and transparently. For this purpose, R is a very useful software tool. This workshop covers the basics of raw data handling in R.
Topics we cover are:
- Steps in preparing your data for analyses
- How to perform these steps in R
- Ultra-quick tour of Rstudio
- Good coding practices
The workshop offers a concise hands on introduction to raw data handling in R, with ready-made examples. At the end you have a good idea on the theory of transforming, checking, cleaning, and rearranging your data. You will have a basis for a further understanding of coding in R, how to document your code, and you will have a working script for an example.
The workshop can be complemented by attending an ‘R Data Handling Café’ (bring your own data and code, or use our self-study assignments). Keep an eye on the calendar for the R Data Cafe.
Employees of the Utrecht University who are planning, or just started coding in the R programming language for their data handling.