Blog Archives

Remember the change in the sample() function of R 3.6.0

This note documents how the sample() function has changed since R 3.6.0, and how to reproduce its previous behaviour. A recent blog post by Christian Robert reminded me that R had to fix its sample() function in R 3.6.0 and above. The issue that used...

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French R conference sponsors

As a complement to the previous note, I have collected every single entity that sponsored a national R conference in France over the last decade. The data include 9 conferences, plus a forthcoming one. For each conference, the number of sponsors varies between 8 and 46, and the number of organising sponsors varies between 1 and 4. The dataset has...

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useR! 2019 and R for French users

This note celebrates useR! 2019 in Toulouse by listing a few links about R conferences in France and some resources for French R users. My Twitter feed is currently offering me lots of links to slides that are being presented at useR! 2019 in Toulouse...

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Stata 16, as seen from R

This note takes a look at some of the new features in Stata 16, which was released this month, and compares those to their R equivalents. Some personal background For background, Stata is the first statistical software that I learnt in depth. I have...

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Asking R questions

This note lists a few places where one can ask R-related questions and get an answer, usually in no more than a few hours. Why Anyone who has learnt a programming language has a history of questions that they have asked to: themselves – usually followed by a lot of documentation reading others, offline – hence the benefits of research labs and offices others,...

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Some thoughts about the R language survey

The only point of this note is to invite you to fill in the R language survey launched by the R Consortium earlier this month. The official announcement of the survey reads: Please take the survey yourself and help us spread the word on social media, by word of mouth, and any other way you can think of. The survey...

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More components of the R ecosystem

This note lists a few of the organizations that are pushing the R language forward, as of early 2017. R is happy language right now. Historically, the R Project for Statistical Computing has been supported by the R Foundation since its inception in 2...

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Technologies worth learning for data science

As a complement to my note on R as a data science language, this note lists ten other technologies that you might want to learn to use, or at least monitor, if you are interested in learning data science. Communication Git is a concurrent versioning...

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R as a data science language

R as a data science language

The R language is a ‘DSL’ – a domain-specific language. The domain that it deals with, however, is not well-defined. In this note, I call R a “data science language” and link to a few resources that make the point better than I could. R as a domain-specific language A few years ago, John D. Cook gave a presentation called “The...

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Turning KML into tidy data frames

Turning KML into tidy data frames

This note briefly introduces the tidykml package, which turns basic KML geometries into tidy data frames that can be visualized with ggplot2. Summary The tidykml package provides a quick way to import data from Google My Maps into R, in a format that makes it easy to manipulate the data and visualize it with ggplot2. Below is an example that uses data...

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