If you plan to do anything with the raster package you should definitely consider parallelize all your processes, especially if you are working with very large image files. I couldn’t find...continue reading.
I’m happy to announce that version 0.8.0 of my ggeffects-package is on CRAN now. The update has fixed some bugs from the previous version and comes along with many new...continue reading.
Please help share our news and this discount. The second edition of our best-selling book Practical Data Science with R2, Zumel, Mount is featured as deal of the day at...continue reading.
Linguistic Signals of Album Quality: A Predictive Analysis of Pitchfork Review Scores Using Quanteda
In this post we will return to the Pitchfork music review data, parts of which I’ve analyzed in previous posts. Our goal here will be to use text mining and...continue reading.
One often hears that R can not be fast (false), or more correctly that for fast code in R you may have to consider “vectorizing.” A lot of knowledgable R...continue reading.
ggeffects (CRAN, website) is a package that computes marginal effects at the mean (MEMs) or representative values (MERs) for many different models, including mixed effects or Bayesian models. One of...continue reading.
The recent ABC News article Australia’s pollution mapped by postcode reveals nation’s dirty truth is interesting. It contains a searchable table, which is useful if you want to look up...continue reading.
In the post (https://statcompute.wordpress.com/2018/11/23/more-robust-monotonic-binning-based-on-isotonic-regression), a more robust version of monotonic binning based on the isotonic regression was introduced. Nonetheless, due to the loss of granularity, the predictability has been somewhat...continue reading.