In my last post, I discussed boxplots in their simplest forms, illustrating some of the useful options available with the boxplot command in the open-source statistical software package R. As I noted in that post, the basic boxplot is both useful...

R, like all good programming languages, treats functions as first class objects. Users can create functions, pass them as arguments, and have them returned as the result of other computations. You may be familiar with passing functions as arguments if you have used the apply family of functions (i.e. apply, sapply, lapply, mapply). For example, to get get...

I have designed and developed Automated Trading Systems (ATS) for few years now. Since trading live, I have been fairly profitable (that is, I achieved my goals). However, I had the unsatisfactory feeling that I was missing some information to increase the level of trust in my systems … I was missing the proper tools

"It ain't easy being green. ~ Kermit T. F. Matt Blackwell at the SSSB has made it easy to access all the Craylola(tm) colors in R.And in case you're not familiar with the way R handles color, here are a few resources:* The best color chart for R.* Colo...

An interesting first day (for me) at the Latent Gaussian Models workshop in Zürich. The workshop is obviously centred at the INLA approach, with Havard Rue giving a short course on Wednesday then a wide ranging tour of the applications and extensions of INLA this afternoon. Thanks to his efforts in making the method completely

I read this post today by John Quick. I was a little taken back when he used a pairwise t-test for post hoc analysis. In a contradiction the t-test did not show differences in the treatment means when the ANOVA model did. This is because the pairwise.t.test does not take into account the two-way anova,