This article describes how you can apply a programming technique, called Memoization, to speed up your R code and solve performance bottlenecks. Wikipedia says: ...

This article describes how you can apply a programming technique, called Memoization, to speed up your R code and solve performance bottlenecks. Wikipedia says: ...

In the first part of Introducing the Kernelheaping Package I showed how to compute and plot kernel density estimates on rounded or interval censored data using the Kernelheaping package. Now, let’s make a big leap forward to the 2-dimensional case. Interval censoring can be generalised to rectangles or alternatively even arbitrary shapes. That may include counties, zip codes, electoral...

These notes are inspired by a talk by Stuart Sierra on Design Patterns in Functional Programming and some thoughts I found on F# for fun an profit and are reflection on how I use different strategies to solve things in R. Design Pattern seems...

In this blog article I'd like to introduce the univariate kernel density estimation for heaped (i.e. rounded or interval censored) data with the Kernelheaping package. It is not unusual to have interval censored data such as in income surveys due to anonymisation or simplification issues. However,...

"It turns out that style matters in programming for the same reason that it matters in writing. It makes for better reading.“ Douglas Crockford in JavaScript: The Good Parts ...

e-mails with the latest R posts.

(You will not see this message again.)