My last 4 posts have all focused on the vaccines being produced to fight COVID-19. They have primarily focused on Bayesian methods (or at least comparing bayesian to frequentist methods). This one follows that pattern and provides expanded cover...

Yet another post about COVID-19 vaccines. Ironically I started with Moderna for the first two posts then shifted to Pfizer for the 3rd post when they released data first. Yesterday Moderna actual data became available (great news), along with so...

Yahoo (not the service provider), yippee, and all those other cries of joy. After my last couple of posts what appears this morning… Earlier on Monday, pharmaceutical giant Pfizer and its partner BioNTech said their experimental vaccine was 90%...

In my last post I started exploring a basic statistical analysis of how confident we should feel about the effectiveness of a vaccine for COVID-19 (Operation Warpspeed). A reminder I’m not an epidemiologist, I don’t have any data for safety, and w...

Well, it’s election day here in America and the last thing in the world I want to talk about is politics. Hope you found a way to vote. Meanwhile, while we wait let me (hopefully) amuse and perhaps educate you with some information about another topic that we all ...

I maintain small package CGPfunctions on Github as well as CRAN. I know a few people use it because occasionally I get feedback (usually accompanied by feature requests :-) ). I am absolutely sure that it’s in no danger of “going viral” but the di...

Well, it has been way too long since I posted something. As with most of you life during the pandemic has been interesting to say the least. I’ve been working hard (to include trying to find a new job), practicing good hygiene, socially distancing...

Mixed emotions Wow! Has it been a year? Another major update from The R Foundation (the recent 4.0.0 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 ...

This post tries to accomplish several things concisely. I’m making available a new function (chaid_table()) inside my own little CGPfunctions package, reviewing some graphing options and revisiting our old friend CHAID – Chi Squared \(\chi^2\) Automated Interaction Detection – to look at modeling a “real world” business problem. It’s ...

This week’s post follows directly from last week’s investigation of data from the 2016 US Census Bureau’s American Community Survey (ACS) Public Use Microdata Sample (PUMS). We explored mean differences in income across several different types of employment status (self-employed, private sector, government, etc.). We found, using bayesian ...

This week my post is relatively short and very focused. What makes it interesting (at least to me) is whether it will be seen as a useful “bridge” between frequentist methods and bayesian methods or as an abomination to both! There’s some reasonably decent code and explanation in this ...

This post builds upon two earlier posts: Comparing Frequentist, Bayesian and Simulation methods and conclusions More Bayes and multiple comparisons Background This all started with a nice post from Anindya Mozumdar on the R Bloggers feed. The topic material was fun for me (analyzing the performance of male 100m sprinters ...

About a week ago Bob Rudis created a nice blog post that I saw on my R Bloggers feed that simultaneously: Threw a bit of “shade” on the ToS for Axios (well done Bob) Showed how to use EtherCalc as a data entry tool And, most importantly to me, showed ...

In my last post I had a little fun comparing perspectives among Bayesian, frequentist and programmer methodologies. I took a nice post from Anindya Mozumdar from the R Bloggers feed and investigated the world’s fastest man. I’ve found that in writing these posts two things always happen. I ...

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 ...

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 ...

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 ...

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 ...

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 ...