Blog Archives

Setting up RStudio Server on a Cloud for Collaboration and Reproducibility

April 16, 2019
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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 workflow that facilitates collaboration and ensures R project reproducibility. There are many possible workflows to accomplish this. In this post, we offer an “opinionated” solution based...

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On Meeting Data Journalists

April 7, 2019
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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 Editors - Computer-Assisted Reporting) conference last month. I would like to think the remark was overloaded with hyperbole, but maybe not. Most of the attendees as this conference were...

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How to share R visualizations in Microsoft PowerPoint

April 3, 2019
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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 comes pre-installed on workstations and pretty much everybody knows how to use it. This can make it an effective medium for sharing information, since most folks are comfortable with it. Unfortunately, valuable...

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RInside Help in Testing

March 31, 2019
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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 small enough, they can be manually translated. However, when there are many tests, and each test initializes its own large data structures, the task becomes a...

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February 2019: “Top 40” New CRAN Packages

March 25, 2019
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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 Series, Utilities and Visualization. Bioinfomatics Cascade v1.7: Implements a modeling tool allowing gene selection, reverse engineering, and prediction in cascade networks. See Jung et al. (2014) for details, along with a Package Introduction...

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How to Avoid Publishing Credentials in Your Code

March 20, 2019
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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 password. You may find yourself being prompted with something like this: When writing an R script that requires a user to provide credentials, you will want...

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

March 17, 2019
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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 languages together like never before. Much more important than the technical details of how it all works is the impact that it has on on both individuals and teams by...

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Parsnipping Fama French

March 13, 2019
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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 Fama French before diving into this post, see here where we covered importing and wrangling the data, here where we covered rolling models...

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Paid in Books: An Interview with Christian Westergaard

March 6, 2019
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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, does the avenue from the Humanities go both ways? In a recent conversation with Christian Westergaard, proprietor of Sophia Rare Books in Copenhagen, I was delighted to learn that it does. JBR:...

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Graph analysis using the tidyverse

March 5, 2019
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Graph analysis using the tidyverse

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, it is a bit of a mental leap to understand how to apply tidy principles to a more robust object, such as a graph table. Thankfully, there are two...

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