Author: R Views

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...continue reading.

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,...continue reading.

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...continue reading.

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,...continue reading.

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...continue reading.

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...continue reading.

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...continue reading.

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”,...continue reading.

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...continue reading.

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...continue reading.

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,...continue reading.

Akshit Achara is a medical device engineer and computer science enthusiast based in Bengaluru, Karnataka, India. You can connect with Akshit on LinkedIn. Constraint programming is a paradigm for solving...continue reading.

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,...continue reading.

One hundred twenty-three new packages made it to CRAN in December. Here are my “Top 40” selections in nine categories: Computational Methods, Data, Genomics, Machine Learning, Medicine, Science, Statistics, Utilities,...continue reading.

Andrea Luciani is a Technical Advisor for the Directorate General for Economics, Statistics and Research at the Bank of Italy, and co-author of the bimets package. Structural Equation Models (SEM),...continue reading.

Waseem Medhat is a Statistical Programmer and Computational Experimentalist who resides in Alexandria, Egypt This post takes a closer look at the forest plot that was mentioned in a previous...continue reading.

For almost a year now, the PSI Visualization Special Interest Group (VIS SIG) has been conducting a monthly graduate-level seminar on creating effective statistical visualizations that is open to everyone....continue reading.

The world seems to have moved to a new phase of paying attention to COVID-19. We have gone from pondering daily plots of case counts, to puzzling through models and...continue reading.

Two hundred ninety-two new packages made it to CRAN in November. Picking forty was unusually difficult. Nevertheless, here are my “Top 40” selections in twelve categories: Archaeology, Computational Methods, Data,...continue reading.

In this post, I’d like to review some basic options for plotting three dimensional surfaces in R. In addition to producing some eye catching visualizations, plotting surfaces can also help...continue reading.