Blog Archives

Reproducible art with R

July 27, 2016
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Reproducible art with R

This is my tribute to the fantastic R package spatstat. All the artwork was 100% done in R, the source code is here. Click the images for hi-res (6000 x 4000) versions. License: This is a public domain work. Feel free to do absolutely whatever you want with the code … Continue reading →

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Bayesian Biostatistics, 25-27 Jan 2016, iDiv, Germany

January 14, 2016
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Registration has been closed -- the course is already full. Course syllabus, timeline, and instructions are here. Loading...

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Survival analysis: basic terms, the exponential model, censoring, examples in R and JAGS

May 13, 2015
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I have put together some basic material on survival analysis. It is available as: .html document with highlighted syntax here. Printer-ready .pdf document here. GitHub repository with all the source files here. Main motivation was that I wanted to learn the basics myself; also, it's tricky to find simple examples of survival models fitted in ... more

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Simple template for scientific manuscripts in R markdown

March 12, 2015
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The good reasons to write scientific reports and manuscripts in LaTeX or Markdown are: improved document integrity (always), simplicity (not always) and reproducibility (always). I prefer the lightweight Markdown over rich but more complex LaTeX -- I think that lightweight is good for reproducibility. I am also in love with … Continue reading →

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12 nifty tips for scientists who use computers

February 16, 2015
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Simple things are good. Here is a list of 12 things that I find simple and useful, yet not many of my colleagues use them. The list is R-biased. Knitr. Intuitive tool to integrate R and text to make reports with fancy fonts, figures, syntax-highlighted R code and equations. If … Continue reading →

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Tailoring univariate probability distributions

June 26, 2014
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Tailoring univariate probability distributions

This post shows how to build a custom univariate distribution in R from scratch, so that you end up with the essential functions: a probability density function, cumulative distribution function, quantile function and random number generator. In the beginning all you need is an equation of the probability density function, … Continue reading →

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A suggestion to Windows-based users of R: It may be time to relocate

June 17, 2014
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Do you remember the time when you switched from graphical statistical software to R? I did it eight years ago, and I had hard time doing even a simple regression analysis without constantly searching for help, it was a pain. In desperation I frequently cheated and went back to Statistica … Continue reading →

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Bayesian PCA

January 5, 2014
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Authors: Jan Smycka, Petr Keil This post introduces experimental R package bPCA which we developed with Jan Smycka, who actually came with the idea. We do not guarantee the very idea to be correct and there certainly are bugs – we invite anyone to show us wrong, or to contribute. … Continue reading →

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