Sharing the shiny apps for my “STAT 2: Introduction to Statistics” course at UC Berkeley.

Using R to plot colored jittery text, just for fun.

Using R to solve the crocodile math problem from the Scottish **Higher Maths** exam of May 2015.

This is probably one of my shortest posts, but this doesn’t mean that it is useless.

As some of you know, one of my favorite research topics has to do with Partial Least Squares (PLS) methods. Along with my interest in theoretical considerations, methodological aspects, practical applications, and software tools, one of my long standing obsessions has been related to the historical side of PLS methods.

In this post I’ll talk about how to unblock your Google account so you can have access to your Goolgle docs when using the R package RGoogleDocs.

In September of last year I started to prepare some teaching material about Partial Least Squares methods. And of course I also thought about including a couple of sections about the history and evolution of such techniques.

In this post I’ll describe a problem for manipulating data in R, that I think might be useful for those working on genetics and related fields.

After receiving some emails commenting on my work and asking information about it,
I want to talk about the behind the scenes of **Manipulating Data Tables in R**.

I’m always surprised to find “new” (to me) functions and commands in R that I had no idea they existed. This is the case of the life-saving `capture.output()`

function.