One hundred seventy-three new packages made it to CRAN in February. Here are my “Top 40” selections in thirteen categories: Computational Methods, Data, Ecology, Economics, Machine Learning, Mathematics, Medicine, Pharma, Science, Statistics, Time Series, Utilities, and Visualization.
One hundred sixty-five new packages made it to CRAN in January. Here are my “Top 40” selections in thirteen categories: Actuarial Statistics, Archaeology, Computational Methods, Ecology, Genomics, Mathematics, Medicine, Machine Learning, Science, Statistics, Time Series, Utilities, Visualization.
One hundred sixteen new packages stuck to CRAN in December 2022. Here are my “Top 40” selections in thirteen categories: Computational Methods, Data, Ecology, Epidemiology, Genomics, Machine Learning, Mathematics, Medicine, Networks, Signal Processing, Statistics, Utilities, and Visualization.
In this post, we share a list of upcoming conferences that either focus on the R programming language or showcase its use in the field.
One hundred sixty-seven new packages made it to CRAN in November: Here are my “Top 40” selections in fourteen categories: Climate Modeling: Computational Methods, Data, Ecology, Epidemiology, Genomics, Machine Learning, Mathematics, Networks, Pharma, Statistics, Time Series, Utilities, and Visualization. Happy New Year everyone! I hope 2023 is good to you all.
One hundred seventy-four new packages made it to CRAN in October. Here are my “Top 40” selections in sixteen categories: Astronomy, Biology, Business, Computational Methods, Data, Ecology, Finance, Genomics, Mathematics, Machine Learning, Medicine, Pharma, Statistics, Time Series, Utilities, Visualization.
Demand and supply planning requires forecasting techniques to determine the inventory needed to fulfill future orders. Nico Nguyen demonstrates how to analyze projected inventory and coverage using a demo dataset.
Two hundred and two new packages made it to CRAN in September. Here are my “Top 40” selections in fourteen categories: Computational Methods, Data, Genomics, Machine Learning, Mathematics, Medicine, Pharmacology, Psychology, Science, Social Science, Statistics, Time Series, Utilities, and Visualization.
Demand and supply planning requires forecasting techniques to determine the inventory needed to fulfill future orders. Nico Nguyen introduces projected inventory and coverage methodology and describes use cases for R in Demand & Supply Planning.
We continue with our series for “nerdy” accountants who want to diverge from Excel and master the power and beauty of R automation by looking at one of the most important areas of ANY business! Cash! We work through a simple example of cleaning transaction data to prep for reconcilation.