One hundred seventy-nine new packages made it to CRAN in May. Here are my “Top 40” picks in twelve categories: Computational Methods, Data, Ecology, Epidemiology, Finance, Machine Learning, Networks, Science, Statistics, Time Series, Utilities, and Visualization.
Frank Harrell`s new eBook, R Workflow, which aims to: “to foster best practices in reproducible data documentation and manipulation, statistical analysis, graphics, and reporting” is an ambitious document that is notable on multiple levels.
One hundred seventeen new packages stuck to CRAN in April. Here are my “Top 40” selections in twelve categories: Computational Methods, Data, Ecology, Finance, Machine Learning, Mathematics, Medicine, Networks, Statistics, Time Series, Utilities, and Visualization.
The rpy2 package is an interface that allows you to run R in Python processes. You can use the best of one language while working in the other.
Even when filtering by the relatively sober #rstats hashtag, I find twitter to be the stream of consciousness of an undisciplined collective mind: disjoint and ephemeral. Nevertheless, on any given day some useful R resources float by, and it is frequently the case that interesting items disappear downstream before I can record them. Here are a few I did manage to fish out recently.
Two hundred and six new packages stuck to CRAN in March. Here are my “Top 40” selections in thirteen categories: Computational Methods, Data, Finance, Game Theory, Genomics, Machine Learning, Medicine, Networks, Science, Statistics, Time Series, Utilities, and Visualization.
This post introduces the MLDataR package which contains real-world examples of clinical and hospital systems datasets that are suitable for exploring supervised machine learning classification and regression models. In a sort of a call to arms, I am working with the NHS-R community to equip the package with even more examples of excellent datasets that can be used for machine learning.
Inflation is a hot topic for both globally and in Turkey nowadays. Inspired by Rami Krispin, I reverse engineered his U.S. Electricity dashboard and created a dashboard to explore a forecast for inflation in Turkey. In this post, I would like to begin to describe some of the technology that went into creating the dashboard.
February was a good month for new R packages on CRAN. Here are my “Top 40” selections from the two hundred packages that arrived in thirteen categories: Computational Methods, Data, Genomics, Linguistics, Machine Learning, Mathematics, Medicine, Networks, Science, Sports, Statistics, Utilities, Visualization.
The 2022 R Conference season is already underway. Here is a list of upcoming conferences that we know about. If we have missed your conference, please write to us with the details. We will update our list as we receive more information.