R Views

Recent content on R Views, an R community blog edited by RStudio

  • May 2019: "Top 40" New CRAN Packages

    May 2019: "Top 40" New CRAN Packages

    Two hundred twenty-two new packages made it to CRAN in May, and it was more of an effort than usual to select the “Top 40”. Nevertheless, here they are in nine categories, Computational Methods,...

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  • A Gentle Introduction to tidymodels

    A Gentle Introduction to tidymodels

    Recently, I had the opportunity to showcase tidymodels in workshops and talks. Because of my vantage point as a user, I figured it would be valuable to share what I have learned so far. Let’s...

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  • Equal Size kmeans

    Equal Size kmeans

    We were recently presented with a problem where the decision maker wanted to understand how their data would naturally group together. The classic technique of k-means clustering was a natural...

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  • reticulate, virtualenv, and Python in Linux

    reticulate, virtualenv, and Python in Linux

    Roland Stevenson is a data scientist and consultant who may be reached on Linkedin. reticulate is an R package that allows us to use Python modules from within RStudio. I recently found this...

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  • Introducing DeclareDesign, a Platform for Research Design

    Introducing DeclareDesign, a Platform for Research Design

    Graeme Blair is an Assistant Professor of Political Science at UCLA. Jasper Cooper is a Postdoctoral Research Associate at the Kahneman-Treisman Center for Behavioral Science and Public Policy at...

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  • April 2019: "Top 40" New CRAN Packages

    April 2019: "Top 40" New CRAN Packages

    One hundred eighty-seven new packages made it to CRAN in April. Here are my picks for the “Top 40”, organized into ten categories: Biotechnology, Data, Econometrics, Machine Learning, Medicine,...

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  • Momentum Investing with R

    Momentum Investing with R

    After an extended hiatus, Reproducible Finance is back! We’ll celebrate by changing focus a bit and coding up an investment strategy called Momentum. Before we even tiptoe in that direction,...

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  • Analysing the HIV pandemic, Part 4: Classification of lab samples

    Analysing the HIV pandemic, Part 4: Classification of lab samples

    Andrie de Vries is the author of “R for Dummies” and a Solutions Engineer at RStudio Phillip (Armand) Bester is a medical scientist, researcher, and lecturer at the Division of Virology,...

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  • Analysing the HIV pandemic, Part 3: Genetic diversity

    Analysing the HIV pandemic, Part 3: Genetic diversity

    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,...

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  • Virtual Morel Foraging with R

    Virtual Morel Foraging with R

    Bryan Lewis is a mathematician, R developer and mushroom forager.                               Morchella Americana by Bryan W. Lewis, see https://ohiomushroomsociety.wordpress.com/ It’s that...

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  • Analysing the HIV pandemic, Part 2: Drug resistance testing

    Analysing the HIV pandemic, Part 2: Drug resistance testing

    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,...

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  • Analysing the HIV pandemic, Part 1: HIV in sub-Sahara Africa

    Analysing the HIV pandemic, Part 1: HIV in sub-Sahara Africa

    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,...

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  • March 2019: "Top 40" New CRAN Packages

    March 2019: "Top 40" New CRAN Packages

    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 categories:...

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  • A Few Old Books

    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 few books about programming that...

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  • Reproducible Environments

    Reproducible Environments

    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...

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  • Setting up RStudio Server on a Cloud for Collaboration and Reproducibility

    Setting up RStudio Server on a Cloud for Collaboration and Reproducibility

    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 given to implementing a...

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  • On Meeting Data Journalists

    On Meeting Data Journalists

    “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...

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  • How to share R visualizations in Microsoft PowerPoint

    How to share R visualizations in Microsoft PowerPoint

    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...

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  • RInside Help in Testing

    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 are simple and...

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  • February 2019: “Top 40” New CRAN Packages

    February 2019: “Top 40” New CRAN Packages

    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...

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