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I’ve been reading about RLQ analysis, also known as the fourth corner method, for analyzing relationships between environmental characteristics and species traits. I was interested because I thought I might be using RLQ analysis to answer a specific set of … Continue reading → [Read more...]

The guys at Google continue to update and enhance the Chart Tools API. One new recent feature is a pie chart with a hole, or as some call them: donut charts.Thankfully the new functionality is being achieved through new options for the existing pie cha... [Read more...]

Confession, by ‘solution?’ I literally mean I’m asking for your thoughts on a solution. Like it or lump it I do a lot of graphs for presentations, largely in powerpoint. That’s the way my colleagues/industry work(s) and it’s not about … Continue reading → [Read more...]

R can be connected with Hadoop through the rmr2 package. The core of this package is mapreduce() function that allows to write some custom MapReduce algorithms. The aim of this article is to show how it works and to provide … Continue reading → [Read more...]

Recently I’ve been spending a lot of time trying to learn Julia by doing the problems at Project Euler. What’s great about these problems is that it gets me out of my normal design patterns, since I don’t generally think about prime numbers, factorials and other number ... [Read more...]

Hi there! Some time ago I published a post about doing a sentiment analysis on Twitter. I used two wordlists to do so; one with positive and one with negative words. For the first try of a sentiment analysis it is surely a good way to start but if you ... [Read more...]

KDDNuggets has completed its annual poll of top languages for analytics, data mining and data science, and just as in the prior two years the R language is ranked the most popular. R is used by almost 61% of respondents: R's usage grew year over year as well, up 16% compared to ... [Read more...]

Effectively showing estimates and uncertainty from Cox Proportional Hazard (PH) models, especially for interactive and non-linear effects, can be challenging with currently available software. So, researchers often just simply display a results table. These are pretty useless for Cox PH models. It is difficult to decipher a simple linear variable’... [Read more...]

While at the Joint Statistical Meeting a few weeks ago I was talking to a friend about various aspects to clinical trials. He indicated that no current R package was able to perfectly reproduce Passing-Bablok (PB) regression so that it exactly matched SAS. He ultimately wrote a couple of functions ... [Read more...]

Last week I attended a workshop on how to run highly parallel distributed jobs on the Open Science Grid (osg). There I met Derek Weitzel who has made an excellent contribution to advancing R as a high performance computing language by developing BoscoR. BoscoR greatly facilitates the use of the ... [Read more...]

Getting Started with Structural Equation Modeling Part 1Getting Started with Structural Equation Modeling: Part 1 Introduction For the analyst familiar with linear regression fitting structural equation models can at first feel strange. In the R environment, fitting structural equation models involves learning new modeling syntax, new plotting syntax, and often a ... [Read more...]

Fair weather fans, redux Or, A little larger small sample On August 11 the Victoria HarbourCats closed out their 2013 West Coast League season with a 4-3 win over the Bellingham Bells. In an earlier post, written mid-way through the season after the 'Cats had played 15 home games, I created a scatter ... [Read more...]

Continuing my exploration of mixed models, I now understand what is happening in the second SAS(R)/STAT example for proc mixed (page 5007 of the SAS/STAT 12.3 Manual). It is all about correlation between the time-points within subjects. The data as suc... [Read more...]