Publications by R Views
COVID-19 Data Forum: Data Journalism
The COVID-19 Data Forum, a joint project of the Stanford Data Science Institute and the R Consortium, is an ongoing series of multidisciplinary webinars where topic experts discuss data-related aspects of the scientific response to the pandemic. The most recent event, held on March 18, 2021, explored the role of data journalism in the pandemic. T...
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An Alternative to the Correlation Coefficient That Works For Numeric and Categorical Variables
Dr. Rama Ramakrishnan is Professor of the Practice at MIT Sloan School of Management where he teaches courses in Data Science, Optimization and applied Machine Learning. When starting to work with a new dataset, it is useful to quickly pinpoint which pairs of variables appear to be strongly related. It helps you spot data issues, make better mod...
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March 2021: “Top 40” New CRAN Packages
By my count, two hundred twenty-one new packages stuck to CRAN in March 2021.1 Here are my “Top 40” selections in twelve categories: Computational Methods, Data, Engineering, Genomics, Machine Learning, Medicine, Music, Networks, Science, Statistics, Utility, and Visualization. Two of these categories Engineering and Music have only one entry...
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Introduction to Functional Data Analysis with R
Suppose you have data that looks something like this. This plot might depict 80 measurements for a participant in a clinical trial where each data point represents the change in the level of some protein level. Or it could represent any series of longitudinal data where the measurements are take at irregular intervals. The curve looks like a tim...
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Basic FDA Descriptive Statistics with R
In a previous post, I introduced the topic of Functional Data Analysis (FDA). In that post, I provided some background on Functional Analysis, the mathematical theory that makes FDA possible, identified FDA resources that might be of interest R users, and showed how to turn a series of data points into an FDA object. In this post, I will pick up ...
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April 2021: “Top 40” New CRAN Packages
One hundred seventy-nine new packages made it to CRAN in April. Here are my “Top 40” picks in twelve categories: Computational Methods, Data, Genomics, Machine Learning, Mathematics, Medicine, Networks, Operations Research, Statistics, Time Series, Utilities, and Visualization. Computational Methods abess v0.1.0: Provides a toolkit for solvin...
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R for Public Health
The COVID19 pandemic has raised the profile of public health workers at all levels from the nurses and doctors working on the front lines at our hospitals, to high level state and federal public health officials. I think its a good bet that eighteen months ago few of us had any clear idea about how the public health care system works, or thought ...
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Functional PCA with R
In two previous posts, Introduction to Functional Data Analysis with R and Basic FDA Descriptive Statistics with R, I began looking into FDA from a beginners perspective. In this post, I would like to continue where I left off and investigate Functional Principal Components Analysis (FPCA), the analog of ordinary Principal Components Analysis in ...
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Summer Conferences!
Summer is here, but it is not too late sign up for some summer conferences. The following short list promises interesting speakers, a wide range of topics and plenty of R content. June (21 – 23) – The PSI 2021 conference is online and the Registration Portal is still open. Keynote speakers Alan Smith and Ian Bott from the Financial Times, an...
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May 2021: “Top 40” New CRAN Packages
Two hundred five packages made it to CRAN in May, but seven were removed before this post went to print. Here are my “Top40” picks in ten categories: Computational Methods, Data, Genomics, Machine Learning, Medicine, Science, Statistics, Time Series, Utilities, and Visualization. Computational Methods madgrad v0.1.0: Implements MADGRAD, a Mom...
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