The new version of googleVis 0.4.2 is now available via CRAN. Many thanks to all who provided feedback on version 0.4.0 and particularly to Sebastian Campbell, John Maindonald and Aonan Zhang. As usual, if you find any issues or bugs, please send us an email or add a line to our online ... [Read more...]

During the last half century the European Union has adopted more than 100 000 pieces of legislation. In this presentation I look into the patterns of legislative adoption over time. I tried to create clear and engaging graphs that provide … Continue reading → [Read more...]

I’m not a fan of the Top 40 style content on Quora, but a student in Dr. Leek’s Coursera class shared this absolute gem from Edwin Chen. I have not seen a better explanation: How do random forests work in layman’s terms? Suppose you’re very indecisive, so ... [Read more...]

VIDEO TRANSCRIPT: Hello, this is Matt Asher from StatisticsBlog.com. I’m going to be reviewing Mathematica 9, from Wolfram Research. In particular, I’ll be focusing on using it with R and to do Monte Carlo simulations and other statistical work. You can find a full transcript of this video ... [Read more...]

Although I suffer from complete ignorance of typography, with a little help from a post from Hyndsight and post from mages' blog, I wanted to try a different font on the one-pager performance report that we created in Onepager Now with knitR. I do not think Open Sans Light is ... [Read more...]

This is intended for those who are starting out in R and interested in parsing an XML document recursively. It uses DT Lang's XML package.If you want to just read certain types of nodes, then XPATH is great. This document by DT Lang is perfect for that... [Read more...]

I'm working on a new book about the R programming language. R is a language that is designed for use with statistics and data. I use it to analyze sports and social networking. I thought that it would be fun to write the book focusing on baseball statistics using data ... [Read more...]

If you missed last week's broadcast of the webinar Revolution R Enterprise: 100% R and More, I've embedded the replay below. If you're not familiar with the power, productivity and enterprise readiness that Revolution R Enterprise brings to open source R, this is a good place to start. Slides from the ... [Read more...]

Wow, last week’s Drag Race post made the rounds in the stats and Drag Race circles. It was cross-posted to Jezebel and has been getting some pretty high-profile links. A little birdy told me that Ms. Ru herself has read it. I think I can die a happy man ... [Read more...]

Some days ago a friend of mine asked how much i knew about graph-theory. My answer: nothing. Anyway, i was able to read a little bit on Random Geometric graphs, so i came with this little function to help visualize these things: There are some pretty... [Read more...]

Making available replication materials for the research you do is A Good Thing. It’s also work, and it’s quite easy to never get around to. Certainly I claim no special virtue in this department so I am always happy when there’s an institutional stick to prod my ... [Read more...]

Of all the things I dislike about R, one of the biggest is the fact that you can declare a function within the list of arguments to another function. I’ve gotten over it for very minor operations needed by things like lapply, but it can drive me bonkers elsewhere. ... [Read more...]

"Combining R's sophisticated calculations and MonetDB's excellent data access performance is a no-brainer. One gets the best of two (open source) worlds with minimal hassle." - Dr. Hannes Mühleisen"oh wow that was fast like a cheetah with a jetpack or something" - anthony damicowhy try monetdb + ra speed ... [Read more...]

Second part on logistic regression (first one here). We used in the previous post a likelihood ratio test to compare a full and null model. The same can be done to compare a full and nested model to test the contribution of any subset of parameters: Interpretation of coefficients Note: ... [Read more...]

This is a dynamic post which I will continue to update whenever I find something new. Hope you will find the following links useful.Online Courses for Learning the R languageTry R from Code Schoole-Books for Learning the R LanguageR for Beginners ... [Read more...]

In the future, we will determine how to select the best possible team by maximizing your team's projected points and minimizing its downside risk.  But in order to do this, we will have to rely on our best guess of how many points each player will score.  We will use 2012 ... [Read more...]

One of the big differences between a language like Stata compared to R is the ability in R to handle many different types of objects at once, and combine them together or pull them apart.  I had a post about objects last year, but I thought I'd sh... [Read more...]

[This article was first published on Rmetrics blogs, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your [Read more...]

How variable are garch predictions? Previously There have been several posts on garch, in particular: A practical introduction to garch modeling The components garch model in the rugarch package Both of these posts speak about the two common prediction targets: prediction (of volatility) at the individual times (usually days) term ... [Read more...]

I expect to be getting some ordinal data, from 5 or 9 point rating scales, pretty soon, so I am having a look ahead how to treat those. Often ANOVA is used, even though it is well known not to be ideal fro a statistical point of view, so that is the ... [Read more...]