Consumers will not complete long questionnaires, so marketing research must get the most it can from every item. In this post, we look into the toolbox of R packages and search for statistical models that enable us to learn a great deal about eac...

Last year, the good people at is.R() spent December publishing an R advent calendar. This meant that for 24 days, every day, there was an interesting post featuring analysis and some excellent visualizations in R. I think it's an interesting (if very challenging) exercise and I'm going to try to do it myself this year.

Getting Started with Multilevel Modeling in R Getting Started with Multilevel Modeling in R Jared E. Knowles Introduction Analysts dealing with grouped data and complex hierarchical structures in their data ranging from measurements nested within participants, to counties nested within states or students nested within classrooms often find themselves...

This is a gem of a book.From the introduction: We intend this work to be a practitioner’s guide to the predictive modeling process and a place where one can come to learn about the approach and to gain intuition about the many commonly used and modern, powerful models. …it was our goal to be as hands-on as possible, enabling the readers...

I’ve always thought that it’s silly, in most cases, source compiling software that’s already available in binary form. To the end of making more binary packages available to Mac users, I just started contributing to a project that is creating a repository of 64 bit builds of pkgsrc’s (NetBSD's portable package manager) over 12,000 packages. »more

There’s a classic probability problem/brainteaser popularized by google that states: In a country in which people only want boys, every family continues to have children until they have a boy. If they have a girl, they have another child. If they have a boy, they stop. What is the proportion of boys to girls in the country? It seems...

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