Students from Eindhoven University of Technology, the University of Twente, as well as researchers from Maastricht and Belgium joined the workshop entitled * Introduction to Statistics for HCI in R*, given by Daniel Lakens on 16 November 2016. There were different levels of expertise to begin with, ranging from those who were installing R and RStudio for the first time to others who were already comfortable doing analysis in R. Daniel went through step-by-step instructions on the interface of R Studio, important commands, helpful libraries, and how to approach statistics in general in R.

The most interesting aspects of the workshop were on practical know-how that Daniel shared from his own experience. While SPSS is a familiar program for many, researchers are likely to suffer from “data rot” when they want to revisit their data and realize that they do not know what procedures were used for their past analyses. R is a great alternative. By creating R scripts, procedures are saved for future sessions and this makes it easier for other researchers to work together. Daniel ended the workshop with a short tutorial on meta-analysis using R. Afterward, many participants joined for drinks at the campus café, De Zwarte Doos (the Black Box).

Participants found this workshop to be effective. PhD student Alejandro Osses Vecchi shares that "it was a very nice workshop where we covered from the basics to the not-so-basic aspects of the R-environment. Now I actually dare to migrate all my stats to R (I did already replicate one of my MATLAB analyses)”. If other students are interested in learning more about R, Daniel recommends Twitter (follow him @Lakens) and the R Inferno by Patrick Burns.

Students from Eindhoven University of Technology, the University of Twente, as well as researchers from Maastricht and Belgium joined the workshop entitled * Introduction to Statistics for HCI in R*, given by Daniel Lakens on 16 November 2016. There were different levels of expertise to begin with, ranging from those who were installing R and RStudio for the first time to others who were already comfortable doing analysis in R. Daniel went through step-by-step instructions on the interface of R Studio, important commands, helpful libraries, and how to approach statistics in general in R.

The most interesting aspects of the workshop were on practical know-how that Daniel shared from his own experience. While SPSS is a familiar program for many, researchers are likely to suffer from “data rot” when they want to revisit their data and realize that they do not know what procedures were used for their past analyses. R is a great alternative. By creating R scripts, procedures are saved for future sessions and this makes it easier for other researchers to work together. Daniel ended the workshop with a short tutorial on meta-analysis using R. Afterward, many participants joined for drinks at the campus café, De Zwarte Doos (the Black Box).

Participants found this workshop to be effective. PhD student Alejandro Osses Vecchi shares that "it was a very nice workshop where we covered from the basics to the not-so-basic aspects of the R-environment. Now I actually dare to migrate all my stats to R (I did already replicate one of my MATLAB analyses)”. If other students are interested in learning more about R, Daniel recommends Twitter (follow him @Lakens) and the R Inferno by Patrick Burns.