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chatGPT March Madness
There's a lot of madness this March, both on and off the court. OpenAI continues to rock the tech world with every new release of its generative pre-trained transformer (GPT) foundation model. To g...
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R code to accompany Real-World Machine Learning (Chapter 6): Making Predictions
In the latest update to the rwml-R Github repo, R code is provided to complete the analysis of New York City taxi data from Chapter 6 of the book "Real-World Machine Learning" by Henrik Brink, Jose...
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R code to accompany Real-World Machine Learning (Chapter 6): Exploring NYC Taxi Data
The rwml-R Github repo is updated with R code for exploratory data analysis of New York City taxi data from Chapter 6 of the book "Real-World Machine Learning" by Henrik Brink, Joseph W. Richards, ...
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R code to accompany Real-World Machine Learning (Chapter 5): Event Modeling
The rwml-R Github repo is updated with R code for the event modeling examples from Chapter 5 of the book "Real-World Machine Learning" by Henrik Brink, Joseph W. Richards, and Mark Fetherolf. Examp...
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Reactive acronym list in stratvis, a timevis-based Shiny app
I present a method for reactively updating a table of acronyms from a Shiny interactive timeline using renderDataTable and timevis. The method is used in the new Shiny app, *stratvis*.
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R code to accompany Real-World Machine Learning (Chapters 2-4 Updates)
I updated the R code to accompany Chapter 2-4 of the book "Real-World Machine Learning" by Henrik Brink, Joseph W. Richards, and Mark Fetherolf to be more consistent with the listings and figures a...
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R code to accompany Real-World Machine Learning (Chapter 4)
In the latest update to the rwml-R Github repo, I provide R code to accompany Chapter 4 of the book "Real-World Machine Learning" by Henrik Brink, Joseph W. Richards, and Mark Fetherolf. Topics cov...
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R code to accompany Real-World Machine Learning (Chapter 3)
The rwml-R Github repo is updated with R code to accompany Chapter 3 of the book "Real-World Machine Learning" by Henrik Brink, Joseph W. Richards, and Mark Fetherolf.
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R code to accompany Real-World Machine Learning (Chapter 2)
Introduces my Github repo providing R code to accompany the book "Real-World Machine Learning".
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Install all required R packages on your Shiny server
I give a walkthrough of a bash script that installs all of the R packages required by an R program (e.g., Shiny app, R file, R markdown file). This is useful for speeding up the workflow of adding ...
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Syntax highlighting of code within a LaTeX document in Vim
I describe the steps necessary to enable syntax highlighting of code snippets within a LaTeX document when editing in Vim. As an example, I show how to enable syntax highlighting for Chapel code. T...
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Multiple regression lines in ggpairs
Plots including multiple regression lines are added to a matrix of plots generated with the GGally package in R.
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Data analysis with ProjectTemplate in RStudio with Git
ProjectTemplate is a system for organizing and automating data analysis in R. Here is a recipe for creating a new ProjectTemplate project in RStudio and initializing version control with Git.
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Some notes on getting started with Chapel's new LAPACK module on a mac
The latest version of Chapel (version 1.12.0) includes a LAPACK module. To get started, I compiled Chapel, BLAS, and LAPACK, and I ran the example code shipped with Chapel.
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