First Statistics Sunday in far too long! It’s going to be a short one, but it describes a great trick I learned recently while completing a time study for our...continue reading.
In R we have the qcc package but charts are not very nice, specially if you want to put your chart in a HTML file.Here I describe the process of...continue reading.
Multiple comparisons of group-level means is a tricky problem in statistical inference. A standard practice is to adjust the threshold for statistical significance according to the number of pairwise tests...continue reading.
Two statistical indices crossed my inbox in the last week, both of which use fast food restaurants to measure a concept indirectly.First up, in the wake of recent hurricanes, is...continue reading.
Data manipulation is a breeze with amazing packages like plyr and dplyr. Recoding factors, which could prove to be a daunting task especially for variables that have many categories, can...continue reading.
Several people wanted to have the slides from Betancourt’s lectures at SMLP2018. It is possible to recreate most of the course from his writings:1. Intro to probability:https://betanalpha.github.io/assets/case_studies/probability_theory.html2. Workflow…continue reading.
In this post we will return to the data on Pitchfork music reviews, parts of which I’ve analyzed previously. The goal of this post will be to gain an understanding...continue reading.
Click here for the interactive visualizationIf you’re interested in the visualisation of networks or graphs, you might’ve heard of the great package “visNetwork”. I think it’s a really great package...continue reading.
Clustered/Grouped Count DataOften cluster/grouped count data exhibit extra zeros and over-dispersion. To account for these features, Poisson and negative binomial mixed effects models with an extra zero-inflation part are used....continue reading.
Using Text Analysis to Become a Better WriterWe all have words we love to use, and that we perhaps use too much. As an example: I have a tendency to...continue reading.
We wrote a short tutorial on contast coding, covering the common contrast coding scenarios, among them: treatment, helmert, anova, sum, and sliding (successive differences) contrasts. The target audience is psychologists...continue reading.
This is a short post following the previous one (PCA revisited).In this post I’m going to apply PCA to a toy problem: the classification of faces. Again I’ll be working...continue reading.