Author: R Views

Phillip (Armand) Bester is a medical scientist, researcher, and lecturer at the Division of Virology, University of the Free State, and National Health Laboratory Service (NHLS), Bloemfontein, South Africa Sabeehah...continue reading.

By my count, two hundred and thirty-three packages stuck to CRAN last month. I have tried to capture something of the diversity of the offerings by selecting packages in ten...continue reading.

Greg Wilson is a data scientist and professional educator at RStudio. My previous column looked at a few new books about R. In this one, I’d like to explore a...continue reading.

Great data science work should be reproducible. The ability to repeat experiments is part of the foundation for all science, and reproducible work is also critical for business applications. Team...continue reading.

Roland Stevenson is a data scientist and consultant who may be reached on Linkedin. When setting up R and RStudio Server on a cloud Linux instance, some thought should be...continue reading.

“I’d rather do data than date”. I overheard this while eavesdropping on a conversation among three female data journalists while waiting for an elevator at the IRE-CAR (Investigative Reporters and...continue reading.

Hadrien Dykiel is an RStudio Customer Success Engineer Microsoft PowerPoint is often the de facto choice for creating presentation slides, especially at larger companies. In many organizations, it comes pre-installed...continue reading.

A problem arises when building R interfaces to C/C++ libraries involves testing: how to go about replicating the existing C/C++ tests in R without undue effort. If the C/C++ tests...continue reading.

One hundred and fifty-one new packages arrived at CRAN in February. Here are my “Top 40” picks organized into eight categories: Bioinformatics, Data, Machine Learning, Medicine, Statistics, Time Series, Utilities...continue reading.

Roland Stevenson is a data scientist and consultant who may be reached on Linkedin. When accessing an API or database in R, it is often necessary to provide credentials such...continue reading.

Andrew Mangano is the Director of eCommerce Analytics at Albertsons Companies. Part I – Modelling The reticulate package integrates Python within R and, when used with RStudio 1.2, brings the...continue reading.

Today, we will continue our exploration of developments in the world of tidy models, and we will stick with our usual Fama French modeling flow to do so. For new...continue reading.

R is greatly benefiting from new users coming from disciplines that traditionally did not provoke much serious computation. Journalists1 and humanist scholars2, for example, are embracing R. But, does the...continue reading.

It is because I am not a graph analysis expert that I though it important to write this article. For someone who thinks in terms of single rectangular data sets,...continue reading.

In a recent post, I presented some of the theory underlying ROC curves, and outlined the history leading up to their present popularity for characterizing the performance of machine learning...continue reading.

One hundred and fifty-three new packages made it to CRAN in January. Here are my “Top 40” picks in eight categories: Computational Methods, Data, Machine Learning, Medicine, Science, Statistics, Utilities,...continue reading.

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...continue reading.

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...continue reading.

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...continue reading.

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...continue reading.