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 →
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Examples for sjPlotting functions, including correlations and proportional tables with ggplot #rstats
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 →
Banging on the JGBs
Since I have not posted in quite a while, I wanted to let everyone know that I am still alive and kicking. The resurrection of excitement (opportunity) in the markets, quarterly reporting cycle, and the overwhelming number of unbelievable R/javascript releases have kept me from writing something good enough to justify a post. In the markets, Japan and gold...
Version 1.2 of devtools released
We’re very pleased to announce the release of devtools 1.2. This version continues to make working with packages easier by increasing installation speed (skipping the build step unless local = FALSE), enhancing vignette handling (to support the non-Sweave vignettes available in R 3.0.0), and providing better default compiler flags for C and C++ code. Also 
Reinhart & Rogoff: Everyone makes coding mistakes, we need to make it easy to find them + Graphing uncertainty
You may have already seen a lot written on the replication of Reinhart & Rogoff’s (R & R) much cited 2010 paper done by Herndon, Ash, and Pollin. If you haven’t, here is a round up of some of some of what has been written: Konczal, Yglesias, Krugman, Cowen, Peng,
R Color Reference Sheet
R has a built-in collection of 657 colors that you can use in plotting functions by using color names. There are also various facilities to select color sequences more systematically: Color palettes and ramps available in packages RColorBrewer and colorRamps. R base functions colorRamp and colorRampPalette that you can use to create your own color
Looking Ahead: Revolution R Enterprise Release 7
by Thomas Dinsmore Revolution R Enterprise Release 6.2 goes live next week, so naturally our development team is thinking ahead to Release 7, which we plan to release later this year. Some of those enhancements are hush-hush, and we can't talk about them yet. But one of the most important enhancements we've already announced: support for predictive analytics inside...
How long is the average dissertation?
The best part about writing a dissertation is finding clever ways to procrastinate. The motivation for this blog comes from one of the more creative ways I’ve found to keep myself from writing. I’ve posted about data mining in the past and this post follows up on those ideas using a topic that is relevant 
Mapping the GDELT data (and some Russian protests, too)
(This article was first published on Quantifying Memory, and kindly contributed to R-bloggers) In this post I show how to select relevant bits of the GDELT data in R and present some introductory ideas about how to visualise it as a network map. I've included all the code used to generate the illustrations. Because of this, if you here...
R and Dropbox
When you woRk, you probably have a set of useful functions/packages you constantly use. For example, I often use the excellent quantmod package, and the nice multi.sapply function. You want your tools loaded when R session fires. In order to … Continue reading →
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
