Articles by R Views

Some Select COVID-19 Modeling Resources

April 6, 2020 | R Views

There is an incredible amount of COVID-19 related material available online. While many dashboards, data sets, shiny apps and models represent significant contributions towards fighting the pandemic, we seem to have reached a point where we should be thinking about standards of quality, and should be exploring avenues for cooperation ...
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Close Encounters of the R Kind

March 30, 2020 | R Views

Affiliation Harrison – Center for Strategic and Budgetary Analysis, Washington DC Cara – Department of the Air Force (Studies, Analyses, and Assessments - AF/A9), Washington DC Disclaimer The views expressed in this article represent the personal views of the author and are not necessarily the views of the Department of Defense (... [Read more...]

February 2020: “Top 40” New R Packages

March 25, 2020 | R Views

One hundred sixty-four new packages made it to CRAN in February. Here are my “Top 40” picks in eleven categories: Computational Methods, Data, Genomics, Machine Learning, Mathematics, Medicine, Science, Statistics, Time Series, Utilities, and Visualizations. Computational Methods delayed v0.3.0: Implements mechanisms to parallelize dependent tasks in a manner that optimizes the ...
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Simulating COVID-19 interventions with R

March 18, 2020 | R Views

Tim Churches is a Senior Research Fellow at the UNSW Medicine South Western Sydney Clinical School at Liverpool Hospital, and a health data scientist at the Ingham Institute for Applied Medical Research. This post examines simulation of COVID-19 spread using R, and how such simulations can be used to understand ... [Read more...]

Outlier Days with R and Python

March 15, 2020 | R Views

Welcome to another installment of Reproducible Finance. Today’s post will be topical as we look at the historical behavior of the stock market after days of extreme returns and it will also explore one of my favorite coding themes of 2020 - the power of RMarkdown as an R/Python ...
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COVID-19 epidemiology with R

March 4, 2020 | R Views

Tim Churches is a Senior Research Fellow at the UNSW Medicine South Western Sydney Clinical School at Liverpool Hospital, and a health data scientist at the Ingham Institute for Applied Medical Research, also located at Liverpool, Sydney. His background is in general medicine, general practice medicine, occupational health, public health ...
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January 2020: “Top 40” New R Packages

February 23, 2020 | R Views

One hundred forty-seven new packages made it to CRAN in January. Here are my “Top 40” picks in nine categories: Computational Methods, Genomics, Machine Learning, Mathematics, Medicine, Statistics, Time Series, Utilities and Visualization. Computational Methods FSSF v0.1.1: Provides three methods proposed by Shang & Apley (2019) to generate fully-sequential space-filling designs inside a ...
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R, Public Health and Politics

February 18, 2020 | R Views

Last week, Lancet published the paper Improving the prognosis of health care in the USA by Alison P Galvani, Alyssa S Parpia, Eric M Foster, Burton H Singer, Meagan C Fitzpatrick of CIDMA, the Center for Infectious Disease Modeling and Analysis, Yale School of Public Health. The paper, which, provides ... [Read more...]

rstudio::conf 2020 Videos

February 17, 2020 | R Views

rstudio::conf 2020 is already receding in the rear view mirror, but the wealth of resources generated by the conference will be valuable for quite some time. All of the materials from the workshops, and now all one hundred and four videos of conference talks are available. This unique video collection ...
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Photo Mosaics in R

February 12, 2020 | R Views

Harrison Schramm, CAP, PStat, is a Senior Fellow at the Center for Strategic and Budgetary Assessments. In this short piece, I’m going to discuss a fun photography project I did over the winter using R. I’m also going to touch on some of the implications of the R ...
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Some 2020 R Conferences

February 4, 2020 | R Views

rstudio::conf kicked off the 2020 season for R conferences last week with record attendance somewhere north of twenty-one hundred. Session topics ranged from business to science, marketing to medicine and attracted R users with very varied backgrounds including DevOps professionals, data scientists, journalists, physicians, statisticians, R package developers, Shiny developers ...
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rstudio::conf 2020 Workshops

January 26, 2020 | R Views

rstudio::conf 2020 got underway today with a huge training event featuring eighteen workshops taught by some of the most experienced and sought after instructors in the R Community. The workshops covered a wide range of topics including the Tidyverse, machine learning, deep learning, JavaScript, Shiny, R Markdown, package building, geospatial ...
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December 2019: “Top 40” New R Packages

January 19, 2020 | R Views

One hundred fifty-two packages made it to CRAN in December. Here are my “Top 40” picks in ten categories: Data, Genomics, Machine Learning, Mathematics, Medicine, Science, Statistics, Time Series, Utilities, and Visualization. Data climate v0.3.0: Provides access to meteorological and hydrological data from OGIMET, University of Wyoming - atmospheric vertical profiling ...
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Daily Volumes, Holidays and BLS Reports

January 5, 2020 | R Views

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 for working with dates, which sprang forth courtesy of the mad genius behind riingo and furrr. We will be examining rolling returns ... [Read more...]

RStudio Blogs 2019

December 30, 2019 | R Views

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 ... [Read more...]

November 2019: “Top 40” New R Packages

December 19, 2019 | R Views

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 including symbolic arithmetic, tensor ...
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