I’ve authored several R packages, which are all available on GitHub:
Most of these packages were to some extent “by-products” of the analysis that I’ve been doing for the last couple of years, which I decided would have greater value developed into packages. If you have any comments or questions about these packages, please get in touch - any feedback would be valuable!
On this same site you can find my blog, where I write about things related to #rstats and data science. I contribute my blogs to r-bloggers, R Craft, and R Weekly, which you can find as an example two of my blogs featured in the 2019 Week 17 update on R Weekly. My post on the state of R artefacts is also selected as the highlight post of 2019 Week 27 on R Weekly.
RStudio Projects and Working Directories: A Beginner’s Guide - a starter guide on setting up effective, collaboration-friendly directories - a must read for beginners in R. Special thanks to Chu Kyoyoung for translating this post into Korean.
Using data.table with magrittr pipes: best of both worlds - a post on combining the strengths of the wildly popular tidyverse and the blazing fast data.table packages
LondonR: Hadley Wickham & tidyverse’s greatest hits - a post covering the highlights of Hadley Wickham’s presentation at LondonR in August 2019.
Enterprise Applications of the R Language Conference (London)
I presented at the EARL Conference 2018 on the challenges of using R for market research, and outlining some of the packages and approaches that help overcome these challenges.
Check out my blog on using R for market research and strategy planning below:
A YouTube Interview on R, Data Science, and Market Research
Jonathan Ng is a best-selling instructor and Data Scientist who interviewed me on how I use R in a market research and consulting environment, and my personal journey from Excel to R. Check out the full interview here: