(This article was first published on There is grandeur in this view of life » R, and kindly contributed to R-bloggers) This week I held the second introductory seminar on R, and I think it went pretty well — though I guess you really should ask my colleagues if you want to know. The first seminar was a lecture,...
So you’re an excel wizard, you make the best graphs and charts Microsoft’s classic product has to offer, and you expertly integrate them into your business operations. Lately you’ve studied up on all the latest uses for data visualization and … Continue reading →
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This is an overview of tools for speeding up your R code that I wrote for the Davis R Users’ Group.
It’s customary to quote Donald Knuth at this point, but instead I’ll quote my twitter buddy Ted Hart to illustrate a point:
I’m just going to say it.I like for loops in #Rstats,...
I’m a big fan of open-source software for research. For example, R-statistics, Qgis, and Grass GIS are awesome programs. R can do any statistical tests and numerical modeling you can imagine; if there’s not a built-in function you can write … Continue reading →
Here are my slides from a short introductory seminar on R (essentially going through part I of the R tutorial) last week. As magic lantern pictures go, they’re hideously ugly, but they were mostly there for future reference. Most of the seminar was spent showing RStudio. This Friday, we’ll practice some uses of qplot and make 
Our 5th Cologne R user group meeting was the best attended meeting so far, with 20 members finding their way to the Institute of Sociology for two talks by Diego de Castillo on shiny and Stephan Holtmeier on cluster analysis, followed by beer and schnitzel at the Lux, a gastropub nearby.
Daniel Kaplan and Libby Shoop have developed a one-credit class called Data Computation Fundamentals, which was offered this semester at Macalester College. This course is part of a larger research and teaching effort funded by Howard Hughes Medical Institute (HHMI) to help students … Continue reading →
Welcome presentation Nicola Sturaro, Consultant at Quantide (download PDF, 0.5 MB) Machine learning A case of digit recognition based on a shallow neural network implemented in R. Michele Vitali, Statistical consultant (download PDF, 0.2 MB) Chess betting odds How to develop … Continue reading →
Not the start Blue Jays fans were looking for. With a 6-9 record at the time of publication they already trail Boston (led by reviled ex-BJ manager, John Farrell) by 4.5 games. The batting has been particularly anemic but the pitching – particularly the starting rotation – has also been a concern I have whipped
Sometimes people ask me how the examples of my plotting functions I show here can be reproduced without having a SPSS data set (or at least, without having the data set I use because it’s not public yet). So I … Weiterlesen →
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
