We at R Views believe that the R ecosystem, centered around CRAN and Bioconductor, is the world’s largest open repository of statistical knowledge. R packages provide implementations and examples for a tremendous number of statistical methods, procedures, and algorithms. Yet, the virtual library of the R ecosystem is far ...

One hundred ninety-seven new packages made it to CRAN in June. Here are my selections for the “Top 40” in ten categories: Computational Methods, Data, Finance, Genomics, Machine Learning, Medicine, Statistics, Time Series, Utilities, and Visualization. The Medicine category includes multiple packages for medical reporting and table building. Note that eight ...

I have written about the basics of Functional Data Analysis in three prior posts. In Post 1, I used the fda package to introduce the fundamental concept of using basis vectors to represent longitudinal or time series data as a curv...

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 ...

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 investig...

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 ...

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 solving the best subset selection problem ...

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 ...

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 s...

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 each. However, I ...

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 ...

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 this post, I examine the fundamental assumption of independence underlying the basic Independent two-sample t-test for comparing the means of two random samples. In addition to independence, we assume that both samples are draws from no...

In February, two hundred forty-three new packages made it to CRAN, many of them very interesting and at least one entertaining. It was exceptionally difficult to pick the “Top 40”, but here they are, more or less, in eleven categories: Computational Methods, Data, Finance, Games, Genomics, Machine Learning, Mathematics, Medicine, Networks ...

In a previous post, I described how I was captivated by the virtual landscape imagined by the RStudio education team while looking for resources on the RStudio website. In this post, I’ll take a look at Cheatsheets another amazing resource hiding in plain sight. Apparently, some time ago when ...

It is not yet clear what lasting impact the Covid-19 pandemic will ultimately have on R conferences. We are still adapting to our inability to attend large events, and trying to make the best of the “silver lining” of virtual events which permit worldwide participation. The following is an attempt ...

Two hundred thirty new packages made it to CRAN in January. Here are my “Top 40” selections in ten categories: Data, Finance, Genomics, Machine Learning, Medicine, Science, Statistics, Time Series, Utilities, and Visualization. Data igoR v0.1.1: Provides tools to extract information from the Intergovernmental Organizations (‘IGO’) Database , version 3, provided by the ...

The fifty-five videos from last month’s rstudio::global conference are now available online. You will find them at the link above arranged in ten categories (Keynotes, Data for Good, Language Interop, Learning, Modeling, Organizational Tooling, Package Dev, Programming, Teaching, and Visualization) that reflect fundamental areas of technical and community ...