Some Pitters and Patters with R | Simon P. Couch

Measuring elapsed time to fit with tidymodels

The development versions of tidymodels packages now include tools to benchmark training time.

Run an Oracle Database with Docker Desktop on ARM (M1, M2, M3) MacOS

Starting a containerized Oracle database on an Apple Silicon Mac.

Analyzing my own music listening data with R and the tidyverse (2023)

All of my friends are posting their Spotify Wrapped, and I’m jealous.

Predicting flight delays with tidymodels🛩

Trying out a variety of machine learning models to predict flight delays out of Madison, WI.

Quarto!

I recently rebuilt this site with Quarto.

Down the submodels rabbit hole with tidymodels

Debugging something that turned out not to be a bug at all.

Hiking the 2023 John Muir Trail / Nüümü Poyo

A group of buddies and I walked 242 miles from Mt. Whitney to Yosemite Valley.

Optimizing model parameters faster with tidymodels

A couple small changes can greatly speed up the hyperparameter tuning process with tidymodels.

Moving On From Baltimore

After 2 years in Baltimore, I recently made the move to Chicago, IL.

The tidymodels is getting a whole lot faster

Recent optimizations have made fits on small datasets much, much snappier.

Analyzing my own music listening data with R and the tidyverse

All of my friends are posting their Spotify Wrapped, and I’m jealous.

Redirecting from sub-domains with Netlify

After merging two websites that deployed from different branches, I had to figure out how to redirect my old blog posts to their new home.

{infer} v1.0.0 is on CRAN

Some short reflections on working on the {infer} R package.

Applying to the NSF Graduate Research Fellowship (GRFP)

A compilation of the advice that made me feel most informed and confident while applying for the NSF Graduate Research Fellowship.

Pipe-esque Programming with {ggplot2}’s Plus Operator

Writing iterative code with ‘+’ rather than ‘%>%’ was a tough transition my first time around.

Big Things (Developer Documentation pt. 4)

On the tension between documenting R packages exhaustively and maintainably.

Naming the Things (Developer Documentation pt. 3)

Weighing the pros and cons of several possible schemas for naming the core functions in {stacks}.

Splitting Things Up (Developer Documentation pt. 2)

Why {stacks} requires (at least) four separate functions to build an ensemble model rather than wrapping them all up into one.

How {stacks} Came To Be (Developer Documentation pt. 1)

Introducing a set of blog posts reflecting on the development process of the {stacks} package.

What’s Next For Me

Applying to Graduate School in Statistics and Biostatistics

There were all sorts of tips and tricks about applying to grad school that I was only able to learn about via office hours, personal meetings, and Twitter DMs, and I thought it would be worth publicly compiling some lessons learned.

Running R Scripts on a Schedule with GitHub Actions

Some pointers on running R scripts and committing their results to a GitHub repository on a regular interval using Actions.

{stacks} v0.1.0 is on CRAN!

Introducing ensemble learning to the tidymodels.

Programatically Generating PDF Reports with the Tidyverse

In a few different roles over the past few years, I’ve come across the problem of programatically generating some kind of PDF reports from data. Here are some tips/tricks I’ve come across while making that happen.

A Gentle Introduction to Tidy Model Stacking

Model stacking is an ensembling technique that involves training a model to combine the outputs of many diverse statistical models. The stacks package implements a grammar for tidymodels-aligned model stacking.

The Blog Thing! We’re Doing It!

For a while now, I’ve wished I had a place to share some short posts on what I’m up to related to R, data science, and statistics. I decided I’d take a Sunday to get this subdomain up and running!

Reuse

https://creativecommons.org/licenses/by-sa/4.0/