2021: R for Research 2-day workshop

This workshop will be run online over 2 full days (Tuesday 26 Oct and Friday 29 Oct); participants need to be able to attend BOTH days.

Zoom details will be emailed to Attendees closer to the workshop date.

R is an open-source software package and environment for statistical computing and graphics. The R language has received a lot of attention in the decade, particularly with its growing use by researchers, statisticians and data miners for their empirical analysis and software development. The growth in the number of R users in recent years has indicated that researchers worldwide are either using R or will use it at some point.

R²-R for Research, the workshop is designed to introduce R to the participants, making it easier for them to use R. The workshop's main objective is to introduce R and RStudio and their various capabilities and help the participants get started with coding in R. This workshop specifically targets quantitative researchers and research students who are either beginners in R or want to get started.

The program for the 2 days can be found on the attached document.

The workshop will be conducted online over two days, and the participants will be provided with a set of handouts with related code and datasets to be used in the workshop. The workshop is for beginners and hence does not assume any experience with R.

The workshop will utilise the material available on www.rforanalytics.com, and the instructor will use a Windows machine. All the participants should have the following software installed on their computers.

For MS-Windows computers, follow these steps

1. Install R from the official website: https://cran.r-project.org/ and download base R. This is found here https://cran.r-project.org/bin/windows/base/   for windows.
2. Install RStudio from here https://www.rstudio.com/products/rstudio/download/
3. Rtools from here https://cran.r-project.org/bin/windows/Rtools/

For MAC computers, please do the following

1. R for macOS: https://cran.r-project.org/bin/macosx/
2. RStudio for macOS: https://www.rstudio.com/products/rstudio/download/#download 

Graduate Research Students