So far, my biggest claim to fame on twitter has been my animations about receiver operating characteristic (ROC) curves. You may have seen them circling around the twitterverse.
I finally got around to trying #gganimate. I made this visualization for the bioinformatics class @ClausWilke and I are teaching next semester. I am hoping this will help students understand how ROC curves behave for different linear predictors. #rstats pic.twitter.com/SXMdLmvKR8
— Dariya Sydykova (@dariyasydykova) November 14, 2018 6 amazing animations explaining receiving operating characteristic (ROC) and precision-recall (PR) curves by @dariyasydykova.
This past Monday, Claus Wilke and I announced our package tidyroc.
Very excited to announce my first R package! @ClausWilke and I are developing #tidyroc. You can use it to plot ROC and precision-recall curves, and it is nicely integrated with the #tidyverse's #dplyr, #broom, and #ggplot2. See example in the retweet. https://t.co/duZt69p3tm
— Dariya Sydykova (@dariyasydykova) March 11, 2019 At that point, we had been working on this package for a few weeks, and we were both excited about using it in our class.