Animation

What a 1997 JSS paper with interactive graphics looked like then and still does

In 1997, I wrote a paper that was accepted for the newly fledged Journal of Statistical Software. That article is still available at https://www.jstatsoft.org/article/view/v002i06. It looks nothing like the original published paper. Papers today are only published in pdf format, unlike the original which were delivered as html, with pdf being a secondary format o help readers who preferred a printed copy. My paper was titled “Calibrate your to Recognise High-Dimensional Shapes from their Low-Dimensional Projections”.

How to use a tour to check if your model suffers from multicollinearity

Multicollinearity This was one of the comments from a recent review of a paper: As you note in the paper, it seems likely that there are still issues with multi-collinearity Multicollinearity means that the observations are co-linear in some combination of the variables. This has been relaxed in practice to mean substantial association between explanatory variables. When your explanatory variables have substantial association between them, it means that you don’t have a stable base on which to build a model.

Getting past the little hiccups to getting plotly animations into slides

Goal I just gave a short talk at ISCB-ASC 2018 about visualising high-dimensional data, which involves showing dynamic graphics. In the past, I have run the tour, captured the window and saved to a movie, and embedded this into the Rmarkdown xaringan slides. It seems a bit discombobulated to make the slides this way, and a better way to work would be to make a tour animation using plotly. This turned out to take me two days to get it working, through little mistakes that were not easy to debug by googling the problem.