Publications by R Views
May 2020: “Top 40” New CRAN Packages
One hundred eighty-four new packages stuck to CRAN in May. The following are my “Top 40” picks in eleven categories: Data, Finance, Genomics, Marketing, Machine Learning, Medicine, Science, Statistics, Time Series, Utilities, and Visualization. Data covid19nytimes v0.1.3: Provides accesses the NY Times Covid-19 county-level data for the US th...
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Open-Source Authorship of Data Science in Education Using R
Joshua M. Rosenberg, Ph.D., is Assistant Professor of STEM Education at the University of Tennessee, Knoxville. In earlier posts, we shared how we wrote Data Science in Education Using R as an open book (Post 1, Post 2). In this post, we describe what we consider to be the open-source authorship process we took to write the book. We think of ope...
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R Package Integration with Modern Reusable C++ Code Using Rcpp
Daniel Hanson is a full-time lecturer in the Computational Finance & Risk Management program within the Department of Applied Mathematics at the University of Washington. His appointment followed over 25 years of experience in private sector quantitative development in finance and data science. One of the most time-consuming, tedious, and thankle...
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R Package Integration with Modern Reusable C++ Code Using Rcpp – Part 2
Daniel Hanson is a full-time lecturer in the Computational Finance & Risk Management program within the Department of Applied Mathematics at the University of Washington. His appointment followed over 25 years of experience in private sector quantitative development in finance and data science. In the first post in this series, we looked at confi...
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Building A Neural Net from Scratch Using R – Part 1
Akshaj is a budding deep learning researcher who loves to work with R. He has worked as a Research Associate at the Indian Institute of Science and as a Data Scientist at KPMG India. A lot of deep learning frameworks often abstract away the mechanics behind training a neural network. While this has the advantage of quickly building deep learning ...
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Building A Neural Net from Scratch Using R – Part 2
Akshaj is a budding deep learning researcher who loves to work with R. He has worked as a Research Associate at the Indian Institute of Science and as a Data Scientist at KPMG India. In the previous post, we went through the dataset, the pre-processing involved, train-test split, and talked in detail about the architecture of the model. We starte...
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June 2020: “Top 40” New CRAN Packages
Two hundred ninety new packages made it to CRAN in June. Here are my “Top 40” picks in ten categories: Computational Methods, Data, Genomes, Machine Learning, Medicine, Science, Statistics, Time Series, Utilization, and Visualization. Computational Methods Rfractran v1.0 Implements the esoteric, Turing complete FRACTRAN programming language i...
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R Package Integration with Modern Reusable C++ Code Using Rcpp – Part 3
Daniel Hanson is a full-time lecturer in the Computational Finance & Risk Management program within the Department of Applied Mathematics at the University of Washington. In the previous post in this series, we looked at some design considerations when integrating standard and reusable C++ code into an R package. Specific emphasis was on Rcpp’s...
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Party with R: How the Community Enabled Us to Write a Book
Isabella C. Velásquez, MS, is a data analyst committed to nonprofit work with the aim of reducing racial and socioeconomic inequities. “It is like a party all the time; nobody has to worry about giving one or being invited; it is going on every day in the street and you can go down or be part of it from your window.” – Eleanor Clark. Witho...
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Monitor COVID-19 at the COVID-19 Forecast Hub
If you are looking for a place to monitor expert forecasts for United States weekly and cumulative COVID-19 deaths, you can’t do any better than the Reich Lab (University of Massachusetts) COVID-19 Forecast Hub. The same is true for data scientists who may be seeking to publish their own forecasts and compare them with the work of their peers. ...
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