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Comparing Frequentist, Bayesian and Simulation methods and conclusions

Comparing Frequentist, Bayesian and Simulation methods and conclusions

So, a programmer, a frequentist, and a bayesian walk into a bar. No this post isn’t really on the path to some politically incorrect stereotypical humor. Jut trying to make it fun and catch your attention. As the title implies this post is really about applying the differing viewpoints and methodologies inherent in those approaches to statistics. To be honest I’m not even...

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Updating to R 3.6.0 on MacOS

Mixed emotions Every time there is a new major update from The R Foundation (like the recent 3.6.0 release in April). I’m always happy to see the continuing progress and the combination of new features and bug fixes, but I also dread the upgrade because it means I have to address the issue of what to do about the burgeoning number of packages (libraries) I...

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ANCOVA Example

ANCOVA Example

Analysis of covariance (ANCOVA) using R. I recently had the need to run an ANCOVA, not a task I perform all that often and my first time using R to do so (I’ve done it in SPSS and SAS before). Having a decent theoretical idea of what I had to do I set of in search of decent documentation of how to accomplish...

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CHAID v ranger v xgboost – a comparison

CHAID v ranger v xgboost – a comparison

In an earlier post, I focused on an in depth visit with CHAID (Chi-square automatic interaction detection). Quoting myself, I said “As the name implies it is fundamentally based on the venerable Chi-square test – and while not the most powerful (in terms of detecting the smallest possible differences) or the fastest, it really is easy to manage and...

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CHAID and caret — a good combination

CHAID and caret — a good combination

In an earlier post I focused on an in depth visit with CHAID (Chi-square automatic interaction detection). There are lots of tools that can help you predict an outcome, or classify, but CHAID is especially good at helping you explain to any audience how the model arrives at it’s prediction or classification. It’s also incredibly robust from a statistical perspective, making almost no assumptions...

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Slopegraphs and R – a pleasant diversion

Slopegraphs and R – a pleasant diversion

I try to at least scan the R-bloggers feed everyday. Not every article is of interest to me, but I often have one of two different reactions to at least one article. Sometimes it is an “ah ha” moment because the article is right on point for a problem I have now or have had in the past and the article provides a...

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