Publications by R Views
Outlier Days with R and Python
Welcome to another installment of Reproducible Finance. Today’s post will be topical as we look at the historical behavior of the stock market after days of extreme returns and it will also explore one of my favorite coding themes of 2020 – the power of RMarkdown as an R/Python collaboration tool. This post originated when Rishi Singh, the fo...
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Simulating COVID-19 interventions with R
Tim Churches is a Senior Research Fellow at the UNSW Medicine South Western Sydney Clinical School at Liverpool Hospital, and a health data scientist at the Ingham Institute for Applied Medical Research. This post examines simulation of COVID-19 spread using R, and how such simulations can be used to understand the effects of various public healt...
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Comparing Machine Learning Algorithms for Predicting Clothing Classes: Part 4
Florianne Verkroost is a Ph.D. candidate at Nuffield College at the University of Oxford. She has a passion for data science and a background in mathematics and econometrics. She applies her interdisciplinary knowledge to computationally address societal problems of inequality. This is the fourth and final post in a series devoted to comparing d...
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February 2020: “Top 40” New R Packages
One hundred sixty-four new packages made it to CRAN in February. Here are my “Top 40” picks in eleven categories: Computational Methods, Data, Genomics, Machine Learning, Mathematics, Medicine, Science, Statistics, Time Series, Utilities, and Visualizations. Computational Methods delayed v0.3.0: Implements mechanisms to parallelize dependent ...
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Close Encounters of the R Kind
Affiliation Harrison – Center for Strategic and Budgetary Analysis, Washington DC Cara – Department of the Air Force (Studies, Analyses, and Assessments – AF/A9), Washington DC Disclaimer The views expressed in this article represent the personal views of the author and are not necessarily the views of the Department of Defense (DoD) or the...
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Some Select COVID-19 Modeling Resources
There is an incredible amount of COVID-19 related material available online. While many dashboards, data sets, shiny apps and models represent significant contributions towards fighting the pandemic, we seem to have reached a point where we should be thinking about standards of quality, and should be exploring avenues for cooperation before launc...
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State Unemployment Claims
In today’s Reproducible Finance post, we will explore state-level unemployment claims which get released every Thursday. The last few weeks have shown huge spikes in those claims, of course, due to the coronavirus and statewide lockdown orders, and it got me wondering how these times will look to data scientists in the future. Let’s start by ...
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The Case for tidymodels
If you are a data scientist with a built-out set of modeling tools that you know well, and which are almost always adequate for getting your work done, it is probably difficult for you to imagine what would induce you to give them up. Changing out what works is a task that rarely generates much enthusiasm. Nevertheless, in this post, I would like...
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10 Commands to Get Started with Git
Roland Stevenson is a data scientist and consultant who may be reached on Linkedin. Git and its online extensions like GitHub, Bitbucket, and GitLab are essential tools for data science. While the emphasis is often on collaboration, Git can also be very useful to the solo practitioner. The RStudio IDE offers Git functionality via a convenient we...
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March 2020: “Top 40” New CRAN Packages
Two hundred ninety-six new packages made it to CRAN in March. Here are my “Top 40” picks in ten categories: Computational Methods, Data, Machine Learning, Mathematics, Medicine, Science, Statistics, Time Series, Utilities, and Visualization. Computational Methods celltrackR v0.3.1: Provides a methodology to analyze cells that move in a two- o...
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