When running tests for a package, it’s important that the console output is unadulterated since test results are printed with …Continue reading » [Read more...]

I failed to find Kahneman’s book in the economics section of the bookshop, so I had to ask where it was.  ”Oh, that’s in the psychology section.”  It should have also been in the statistics section. He states that his collaboration with Amos Tversky started with the question: ... [Read more...]

This weekend I had some time to deal with package building in R. After some struggling, I now managed to setup RStudio, Roxygen and MikTex properly so I can compile my collection of R-scripts into a package that even succeeds the package check. Downloads (package and manual) as well as ... [Read more...]

Gina Gruenhage has just arxived a new paper describing an algorithm we call cMDS. Here’s what it’s for: if you do any kind of data analysis you often find yourself comparing datapoints using some kind of distance metric. All’s well if you have a unique reasonable distance ... [Read more...]

ManchesterR and LondonR user group meetings Mango Solutions advise details of the forthcoming R user group meetings in Manchester and London. These free meetings are open to [Read more...]

How to modify axis labels is a FAQ for (almost) all R users. This short post try to give a simple but exhaustive reply to this question. First of all, data are generated. ?View Code RSPLUSdat = data.frame( label = … Continue reading → [Read more...]

I decided to start blogging the R code used for some of my statistical posts, so I will start with the meta-analysis posts and move on to more difficult stuff. As stated previously (here and here) the problem is to convert the reported relative risks(RR, ), 95% confidence interval () and p-value () ... [Read more...]

IntroductionYou know what's still awesome? Pocket.As I noted in an earlier post (oh god, was that really more than a year ago?!) I started using the Pocket application, previously known as Read It Later, in July of 2011 and it has changed my readi... [Read more...]

In a recent post, I discussed the occurrence of hurricanes in the North Atlantic basin. The data comes from the National Oceanic and Atmospheric Association, a member of the US federal government. The data spans a bit more than 150 years. In that post, I make the observation that the data ... [Read more...]

Last week I looked at two-way cross-over studies and followed the example of Schütz (http://bebac.at/) in the analysis. Since the EU has its on opinions (Questions & Answers: Positions on specific questions addressed to the pharmacokinetics working party) and two example data sets, I was wondering how the ... [Read more...]

The Bayesian counterpart to the frequentist analysis of the Randomized Controlled Trial is in many aspects more straightforward than the Bayesian analysis. One starts with a prior probability about the probability of a patient being assigned to each of the three arms and combines it with the (multinomial) likelihood of ... [Read more...]

In my earlier post I summarized the work on my upcoming R package on the SHELDUS database. This is a database on human and property losses from natural disasters in the United States. Although the data is free, downloading the data is tedious and ... [Read more...]

[Read more...]

Thursday, I got an interesting question from a colleague of mine (JP). I mean, the way I understood the question turned out to be a nice puzzle (but I have to confess I might have misunderstood). The question is the following : consider a i.i.d. sample of continuous variables. ... [Read more...]

When marketing researchers speak of driver analysis, they are referring to an input-output model with overall satisfaction as the output and performance ratings of specific product and service components as the inputs. The causal model is straightforwa... [Read more...]

Prof. Ripley today announced on the r-devel mailing list that CRAN now has it's 5000th R package: Package 'quint' brought the number of packages on CRAN (for all platforms: some are Windows-only or non-Windows only) to 5000 a few minutes ago: see http://cran.r-project.org/web/packages/index.html. That's ... [Read more...]

On vacation with my family this week and that means I have a few minutes now and again to read. One of the books I brought along is Christopher Gandrud’s excellent “Reproducible Research with R and RStudio”. Looking for some data as a test project, I latched onto Hurricane ... [Read more...]

The new book Analyzing Baseball Data with R by Max Marchi and Jim Albert is now available, and the authors have also launched a companion blog to share some of the analyses from the book. For example, they used the Lahman package in R to look at the strikeout rate ... [Read more...]

Today, I wanted to publish a post on generating functions, based on discussions I had with Jean-Francois while having our coffee after lunch a couple of times already. The other reason is that I publish my post while my student just finished their Probability exam (and there were a few ... [Read more...]

An introductory comparison of using the two languages. Background R was made especially for data analysis and graphics.  SQL was made especially for databases.  They are allies. The data structure in R that most closely matches a SQL table is a data frame.  The terms rows and columns are used ... [Read more...]