Two hundred eleven new packages made it to CRAN in November. Here are my “Top 40” picks in thirteen categories: Computational Methods, Data, Ecology, Finance, Genomics, Humanities, Machine Learning, Medicine, Networks, Statistics, Time Series, Utilities, and Visualization. It was gratifying to see multiple packages developed for applications in the Computational Humanities. ...

The COVID-19 Data Hub provides a daily summary of COVID-19 cases, deaths, recovered, tests, vaccinations, and hospitalizations for 230+ countries, 760+ regions, and 12000+ administrative divisions of lower level. It includes p...

One hundred forty-one new packages made it to CRAN in October. Here are my “Top 40” picks in twelve categories: Computational Methods, Data, Genomics, Machine Learning, Medicine, Networks, Science, Social Science, Statistics, Time Series, Utilities, and Visualization. Computational Methods gslnls v1.0.2: Implements an R interface to nonlinear least-squares optimization with the ...

This post by Julian During is the third place winner in the Call for Documentation contest. Julian is a data scientist from Germany working in the manufacturing industry. Julian loves working with R (especially the tidyverse ecosystem), sp...

Two hundred twenty new packages stuck to CRAN in September. Here are my “Top 40” picks in fourteen categories: Art, Computational Methods, Data, Econometrics, Finance and Insurance, Genomics, Machine Learning, Medicine, Networks and Graphs, Science, Statistics, Time Series, Utilities, and Visualization. Art rfishdraw v0.1.0: Automatically generates fish drawings using the fishdraw ...

This post by Emily Riederer is the winning entry in our recent Call for Documentation contest. Emily is a Senior Analytics Manager at Capital One where she leads a team building internal analytical tools including R packages, datamarts, and Shiny apps. Outside of work, Emily can be found sharing more ...

An elegant application of Functional Data Analysis is to model longitudinal data as a curve and then study the curve’s dynamics. For example, in pharmacokinetics and other medical studies analyzing multiple measurements of drug or protein ...

One hundred sixty new packages covering a wide array of topics made it to CRAN in August. I thought I would emphasize the breadth of topics by expanding the number of categories organizing my “Top 40” selections beyond core categories that appear month after month. Here are my picks in fourteen ...

R / Medicine is a big deal. This year, the conference grew by 13% with 665 people from over 60 countries signing up for the virtual event which was held last month. 34% percent of the registrants were from outside of the United States and 17% identified as physicians. The conference is now an established international ...

One hundred eighty-three new packages stuck to CRAN in July. Here are my “Top 40” picks in eleven categories: Data, Ecology, Finance, Genomics, Machine Learning, Medicine, Science, Statistics, Time Series, Utilities, and Visualization. Although I don’t have any formal specification for these categories, I do my best to main my ...

R/Medicine 2021, the premier conference for the use of R in clinical applications is less than two weeks away! This conference reflects the increasing importance of data science, computational statistics and machine learning to clinical applications, and emphasizes the effectiveness of the R language as a vehicle for making data ...

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 ...