Swimming + Data Science has been quiet for a while as I worked on other projects. Today though we’re back at it in an attempt to quantify the speed and depth of swim meets.

There’s a new version of SwimmeR available, v0.9.0. It follows v0.8.0, which I didn’t like and didn’t write about. I’ve made some improvements though and here we are. Rather than just telling you what’s in v0.

SwimmeR version 0.7.2 is now available from CRAN. This new version contains some new features, plus a few changes to make it more user-friendly. Let me show you what I’ve been working on.

As you may have heard there’s a global pandemic going on. One of the more minor impacts of that pandemic has been the disruption of athletics, including swimming. In this post we’re going to compare results from the New York State Section V girls championship meets conducted in Fall 2020 to the same meets conducted in years past.

If you’re only going to read one line of this post let it be this one: v0.6.0 of SwimmeR is now available from CRAN and it’s better now than ever before.

Today we’re going to use SwimmeR to build a large database of results - that’s the overall goal. Having a more specific goal in mind can be useful though, so here goes.

I’ve done an experiment regarding package downloads from CRAN (or the RStudio CRAN mirror at least) and now it’s time to share the results. When the first version (0.0.1.0) of SwimmeR was released on CRAN in October of 2019 it had very few features - just a couple functions for formatting times and doing course conversions.

Welcome back to Swimming + Data Science friends. Last week something exciting happened - two things actually! First, the International Swimming League kicked off its 2020 season in Budapest.

Welcome to the final post in the State-Off Tournament series. This will be a battle royale meet, with each of the 8 State-Off states competing against all the others at once (or in swimming terms, this is an invitational style meet).

This is it folks, the big one, the finals of the State-Off Tournament, where we’ll see California (1) take on Texas (2) for high school swimming superiority. We’ll also use a t-test to determine whether or not swimmers actually swim faster in finals sessions, when the pressure is on.