This is the second-to-last workshop in the R-series. The final session will focus on using servers for parallel processing. To get the most out of it, we recommend first completing “Basic concepts before code-parallelization in R”, which is an introduction to pseudo-code, bifurcation statements, and loops.
When: May 30th between 9:30-12:30hrs
Where:
- Onsite: If more than 4 people register onsite, otherwise, will be fully online.
- Online: The Zoom link will be sent via email.
To register: Register here: https://forms.office.com/e/xBY9gP3upc
Requirements
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It is necessary to have R and RStudio installed before the session. You can do it from here: https://posit.co/download/rstudio-desktop/.
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It is necessary to know the basics of data handling. In February, we covered this topic. You can check the material here: https://github.com/SofiaG1l/R_Course/tree/master/R4SocialScientists
Learning Outcomes
- [May 30th] Basic concepts before code-parallelization in R
At the end of the session the students will be able to:
- Translate problems into pseudo-code.
- Translate pseudo-code into R-code.
- Explain what branches and loops are.
- Explode the properties of R to optimize loops
- Use the R functions lapply, vapply, etc. to speed-up code.
