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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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  • How to Avoid Publishing Credentials in Your Code

    How to Avoid Publishing Credentials in Your Code

    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 as a login name and...

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  • The reticulate package solves the hardest problem in data science: people

    The reticulate package solves the hardest problem in data science: people

    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 two...

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  • Parsnipping Fama French

    Parsnipping Fama French

    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 readers who want get familiar with...

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  • Paid in Books: An Interview with Christian Westergaard

    Paid in Books: An Interview with Christian Westergaard

    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,...

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  • Graph analysis using the tidyverse

    Graph analysis using the tidyverse

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

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  • Some R Packages for ROC Curves

    Some R Packages for ROC Curves

    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...

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  • January 2019: “Top 40” New CRAN Packages

    January 2019: “Top 40” New CRAN Packages

    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,...

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