To make teaching R quasi-quotation easier it would be nice if R string-interpolation and quasi-quotation both used the same notation. They are related concepts. So some commonality of notation would actually be clarifying, and help teach the concepts. We will define both of the above terms, and demonstrate the relation ...

After a long time of running my blog on blogger.com, I finally wanted to move it to a solution that’s better suited for the kind of contents I am posting. Namely, that’s content related to R and everything you can do with it - from analyzing large ...

A brief intro to nmelectiondatr CD NM-02: an overview A look at Pearce-Xochitl precincts Straight- & split-ticket voting in NM-02 Summary In this post, we consider some different precinct-level perspectives on Xochitl Torres Small’s surprising win over Yvette Herrell in New Mexico’s 2nd Congressional District (NM-02) in the 2018 general ...

I am very happy to announce that (after many months) my interactive course on Hyperparameter Tuning in R has now been officially launched on Data Camp! Course Description For many machine learning problems, simply running a model out-of-the-box ...

I used DataCamp‘s excellent Introduction to R as Essential Prior Independent Study and found it made people a bit less worried about a term of R! I have a lot of fun teaching first year biology undergraduates but there are a few challenges in teaching data skills when they ...

Clusterlab is a CRAN package (https://cran.r-project.org/web/packages/clusterlab/index.html) for the routine testing of clustering algorithms. It can simulate positive (data-sets with __1 clusters) and negative controls (data-sets with 1 cluster). Why test clustering algorithms? Because they often fail in identifying the true K in practice, published ...

At the beginning of the new year I always want to clean up my photos on my phone. It just never happens. So now (like so many others I think) I have a lot of photos on my phone from … Continue reading →

H2O + AWS + purrr (Part II) This is the second installment in a three part series on integrating H2O, AWS and p(f)urrr. In Part II, I will showcase how we can combine purrr and h2o to train and stack ML models. In the first post we ...