Blog Archives

A Few New R Books

February 19, 2019
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Greg Wilson is a data scientist and professional educator at RStudio. As a newcomer to R who prefers to read paper rather than pixels, I’ve been working my way through a more-or-less random selection of relevant books over the past few months. Some have discussed topics that I’m already familiar with in the context of R, while others have introduced...

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A Look Back on 2018: Part 2

February 11, 2019
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A Look Back on 2018: Part 2

Welcome to the second installment of Reproducible Finance 2019! In the previous post, we looked back on the daily returns for several market sectors in 2018. Today, we’ll continue that theme and look at some summary statistics for 2018, and then extend out to previous years and different ways of visualizing our data. There’s not much heavy computation or even...

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R for Quantitative Health Sciences: An Interview with Jarrod Dalton

February 5, 2019
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This interview came about through researching R-based medical applications in preparation for the upcoming R/Medicine conference. When we discovered the impressive number of Shiny-based Risk Calculators developed by the Cleveland Clinic and implemented in public-facing sites, we wanted to learn more about the influence of R Language in the development of statistical science at this prominent institution. We were...

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December 2108: “Top 40” New CRAN Packages

January 29, 2019
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December 2108: “Top 40” New CRAN Packages

By my count, 157 new packages stuck to CRAN in December. Below are my “Top 40” picks in ten categories: Computational Methods, Data, Finance, Machine Learning, Medicine, Science, Statistics, Time Series, Utilities and Visualization. This is the first time I have used the Medicine category. I am pleased that a few packages that appear to have clinical use made...

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Onboard and Offboard Data Manipulation in Flexdashboard

January 22, 2019
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Harrison Schramm is a Professional Statistician and Non-Resident Senior Fellow at the Center for Strategic and Budgetary Assessments. The Shiny set of tools, and, by extension, Flexdashboard, give professional analysts tools to rapidly put interactive versions of their work in the hands of clients. Frequently, an end user will interact with data by either uploading or downloading a new...

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ROC Curves

January 16, 2019
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ROC Curves

I have been thinking about writing a short post on R resources for working with (ROC) curves, but first I thought it would be nice to review the basics. In contrast to the usual (usual for data scientists anyway) machine learning point of view, I’ll frame the topic closer to its historical origins as a portrait of practical decision...

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A Look Back on 2018: Part 1

January 9, 2019
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A Look Back on 2018: Part 1

Welcome to Reproducible Finance 2019! It’s a new year, a new beginning, the Earth has completed one more trip around the sun, and that means it’s time to look back on the previous January to December cycle. Today and next time, we’ll explore the returns and volatilities of various market sectors in 2018. We might also get into fund flows...

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2018 R Views Review and Highlights

January 1, 2019
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2018 was a good year for R Views. With a total of sixty-three posts for the year, we exceeded the pace of at least one post per week. But, it wasn’t quantity we were shooting for. Our main goal was, and continues to be, featuring thoughtful commentary on topics of interest to the R Community and in-depth technical elaboration...

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Rolling Origins and Fama French

December 25, 2018
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Rolling Origins and Fama French

Today, we continue our work on sampling so that we can run models on subsets of our data and then test the accuracy of the models on data not included in those subsets. In the machine learning prediction world, these two data sets are often called training data and testing data, but we’re not going to do any machine...

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November 2018: “Top 40” New Packages

December 20, 2018
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November 2018: “Top 40” New Packages

Having absorbed an average of 181 new packages each month over the last 28 months, CRAN is still growing at a pretty amazing rate. The following plot shows the number of new packages since I started keeping track in August 2016. This November, 171 new packages stuck to CRAN. Here is my selection for the “Top 40” organized into the...

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