Publications by R Views
IPO Exploration Part Two
In a previous post, we explored IPOs and IPO returns by sector and year since 2004. Today, let’s investigate how portfolios formed with those IPOs have performed. We will need to grab the price histories of the tickers, then form portfolios, then calculate their performance, and then rank those performances in some way. Since there are several ...
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October 2019: “Top 40” New R Packages
Two Hundred twenty-three new packages made it to CRAN in October. Here are my “Top 40” picks in ten categories: Computational Methods, Data, Genomics, Machine Learning, Mathematics, Medicine, Pharmacology, Statistics, Utilities, and Visualization. Computational Methods admmDensestSubmatrix v0.1.0: Implements a method to identify the densest s...
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Introducing sortable to add drag-and-drop to your shiny apps
Andrie de Vries is the author of “R for Dummies” and a Solutions Engineer at RStudio Earlier this year I was a student on the RStudio Instructor Training, taught by the inspiratational Greg Wilson. I remember several tips from this course, for example that you should always try to draw a concept map of the material you are teaching. And, seco...
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In-Database Logisitc Regression with R
Roland Stevenson is a data scientist and consultant who may be reached on Linkedin. In a previous article we illustrated how to calculate xgboost model predictions in-database. This was referenced and incorporated into tidypredict. After learning more about what the tidypredict team is up to, I discovered another tidyverse package called modeldb ...
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IPO Portfolios and a Benchmark
In two previous posts, we explored IPOs and IPO returns by sector and year since 2004 and then examined the returns of portfolios constructed by investing in IPOs each year. In today’s post, we will add a benchmark so that we can compare our IPO portfolios to something besides themselves. Next time, we will delve into return attribution to visu...
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tidyposterior’s Bayesian Approach to Model Comparison
A task common to many machine learning workflows is to compare the performance of several models with respect to some metric such as accuracy or area under the ROC curve. Standard practice is to try out several different algorithms on a training data set and see which works better. Unfortunately, all to often, after this work has been done, model...
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November 2019: “Top 40” New R Packages
One hundred forty-four new packages made it to CRAN in November. Here are my picks for the “Top 40” in eight categories: Computational Methods, Data, Genomics, Machine Learning, Statistics, Time Series, Utilities, and Visualization. Computational Methods calculus v0.1.1: Provides C++ optimized functions for numerical and symbolic calculus inc...
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RStudio Blogs 2019
If you are lucky enough to have some extra time for discretionary reading during the holiday season, you may find it interesting (and rewarding) to sample some of the nearly two hundred posts written across the various RStudio blogs. R Views R Views, our blog devoted to the R Community and the R Language, published over sixty posts in 2019. Many ...
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Daily Volumes, Holidays and BLS Reports
(R-bloggers editor note: plots from this posts were removed due to file size – please visit original post to see the interactive plotly images) by Jonathan Regenstein Welcome to another installment of Reproducible Finance with R – the blog series that never seems to stop reproducing itself. Today we will explore the new almanac package fo...
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No Framework, No Problem! Structuring your project folder and creating custom Shiny components
Pedro Coutinho Silva is a software engineer at Appsilon Data Science. It is not always possible to create a dashboard that fully meets your expectations or requirements using only existing libraries. Maybe you want a specific function that needs to be custom built, or maybe you want to add your own style or company branding. Whatever the case, a ...
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