My first R talk: Learning R with a project you are passionate about

This February, I had the pleasure of giving my first R-talk at the Edinb_R user group.

Here is the blurb for my talk:

Starting to learn R and statistics can be extremely daunting for someone who has never identified as ‘a numbers person’. In this talk, I show how a question and project I am really passionate about helped me go from complete beginR to tidyverse-aficionada. I focus on the usefulness of pipes, mutating and summarising data, merging different dataframes, lubridate, and visualising results with ggplot2. I talk about these packages and functions in the context of my first project, which was an analysis of sources of blood glucose variability in Type 1 Diabetes – and the life-changing impact the results have had.

This R-talk is the story behind my 2018 case report in Endocrinology and Diabetic Medicine, and a reminder that the less intrinsic motivation a learner has to acquire a new skill, the more important it becomes to make that skill relevant with a project they are passionate about. For me as someone who used to be rather sceptical of statistics, a project that I really cared about made all the difference, and now I genuinely enjoy working with R.

Without further ado, here is the R notebook of the presentation.



„It’s all about the Interaction!“ Qualitatively understanding and (more recently) quantitatively modelling interaction between people has always fascinated me. My PhD dissertation – It’s all about the interaction – Listener Responses as a Discourse-Organisational Variable – focuses on the phenomenon of Listener Responses, commonly called backchannels.

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