As final post on European MEPs voting I wanted to look at the individual MEP. The variables examined are how often present and how often present but not voted. The latter might be a marker of sign in and slope off. The analysis chosen is a hierarchical Bayesian analysis, which ... [Read more...]

I have been using RcppArmadillo more and more frequently, so thought I would make a cheatsheet/cookbook type reference that translates common R operations into equivalent arma code.I have put them up on a github wiki page here.The functions are al... [Read more...]

[This article was first published on Data, Evidence, and Policy - Jared Knowles, and kindly contributed to R-bloggers]. (You can report issue about the content on this page [Read more...]

The previous post looked at using the Vectorize() function to, well, vectorize, our Rcpp IPv4 functions. While this is a completely acceptable practice, we can perform the vectorization 100% in Rcpp/C++. We’ve included both the original Rcpp IPv4 functions and the new Rcpp-vectorized functions together to show the minimal ... [Read more...]

So...as time goes by, I'm getting more proficient with Julia...which is something fairly easy as the learning curve is pretty fast...I decided to load a file with 590,209 records that I got from Freebase...the file in question contains Actors and Actre... [Read more...]

Its time for some fun today - because its Friday as David Smith says :).There are many code golf sites, even some support R. However, most of them are algorithm oriented. A true RGolf competition should involve transforming a source data frame to some ... [Read more...]

I was asked how to do this today and thought that I would share the answer: ## Sample points uniformly within a fixed radiusnrand=1000maxstep=10## Sample data ## NB: To get a truly uniform sample over the circle, you must ## sample the square of the distance and then transform back.tempdat [Read more...]

Please share this generous deal from Manning publications: save 45% on Practical Data Science with R through May 21, 2014. Please tweet, forward and share! Related posts: A bit of the agenda of Practical Data Science with R Data Science, Machine Lea... [Read more...]

By Kate Hanley. I may be biased, but I strongly believe that R is one of the best tools out there for performing statistical analyses and related tasks. It is driven by [Read more...]

The official T-shirt for the useR! 2014 R user conference (to be held June 30 - July 3 at UCLA) will be the result of open source contributions and reproducible research. The organizers of the conference are soliciting designs for the official T-shirt — but there's a catch. The image on the front of ... [Read more...]

In my recent post I promised to present the most interesting features of the stringi package in more detail. Here's one of such jolly features. Many LaTeX users may find it very useful. Loading a text file with encoding auto-detection…Read more › [Read more...]

Our previous post showed how to speed up the conversion of IPv4 addresses to/from integer format by taking advantage of a simple Rcpp wrapper to “boosted” native functions. However, to convert more than one IP address, you need to stick those functions into one of the R *apply functions, ... [Read more...]

Blog post: R-squared can mislead us. Here are two related statistics for a better assessment of regression models. [Read more...]

A couple of my good friends also recently started a sports analytics blog. We’ve decided to collaborate on a couple of studies revolving around NBA data found at www.basketball-reference.com. This will be the first part of that project! Data scientists need data. … Continue reading → [Read more...]

Most novice Comrades Marathon runners finish the race on their first attempt and the majority of them walk (shuffle, crawl?) away with Bronze medals. What is a Novice? To paraphrase the dictionary, a novice is “a person who is new to or inexperienced in the circumstances in which he or ... [Read more...]

R is definitely our first choice go-to analysis system. In our opinion you really shouldn’t use something else until you have an articulated reason (be it a need for larger data scale, different programming language, better data source integration, or something else). The advantages of R are numerous: Single ... [Read more...]

The goal of this blog entry is to introduce basic and essential information about the apply function. Even established R users get confused when considering this family of functions especially when observing how many of the them there are: apply, tapply, lapply, sapply, rapply, eapply, mapply. When I was new ... [Read more...]

I was really excited when my friend from Packt Publishing send me this book...as I haven't read any R book in a while...but don't get me wrong...the book is not bad...it's just that I expected a little bit more...let me explain a little bit...This ... [Read more...]

This morning, I started a tutorial for folks whose knowledge of R is (like mine) stuck in 2001. Yesterday I started reading the Rcpp book, and on page 4 there’s an example using the R function replicate, which (a) I’d never heard before, and (b) is super useful. I mean, ... [Read more...]

Conjoint analysis and choice modeling rely on repeated observations from the same individuals across many different scenarios where the features have been systematically manipulated in order to estimate the impact of varying each feature. We believe th... [Read more...]