Monthly Archive: April 2018
When looking through the CRAN list of packages, I stumbled upon this little gem: pkgnet is an R library designed for the analysis of R libraries! The goal of the...continue reading.
Last month, after mentioning “deep learning” a few times to some professors, I suddenly found myself in a position where I had to prepare three talks about “deep learning” within...continue reading.
Getting ready to attend rOpenSci unconf18 and probably working on tidyverse-like functions for the first time
It’s Friday 7pm and it’s been a long week with ups and downs1. But I’m enthused as I write this blog post. In less than a month from now I’ll...continue reading.
Here I am sharing the slides for a talk that my colleague Uwe Friedrichsen and I gave about Deep Learning – a Primer at the JAX conference on Tuesday, April...continue reading.
In a recent blog post, I introduced an easy and efficient way to create indicator variables from categorical variables in SAS. This method pretends to run logistic regression, but it...continue reading.
Counting Blackjack has become an interest of mine over the past few months. After learning the basics of the Hi-Lo counting strategy I thought it would be beneficial to analyze...continue reading.
The first edition of Polish R Users Conferences called Why R? took place on 27-29 September at Warsaw University of Technology – Faculty of Mathematics and Information Science. The event...continue reading.
An easy and efficient way to create indicator variables (a.k.a. dummy variables) from a categorical variable in SAS
Introduction In statistics and biostatistics, the creation of binary indicators is a very useful practice. They can be useful predictor variables in statistical models. They can reduce the amount of...continue reading.