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.