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.
One hundred ninety-four new package made it to CRAN in August. Here are my “Top 40” picks in thirteen categories: “Computational Methods, Data, Epidemiology, Genomics, Insurance, Machine Learning, Mathematics, Medicine, Pharmaceutical Applications, Statistics, Time Series, Utilities, and Visualization.
The rtweet package makes it relatively simple to automate Twitter posts using a scheduling platform such as RStudio Connect or GitHub Actions. In this post, I work through the details using RStudio Connect.
The Cox Proportional Hazards model has so dominated survival analysis over the past forty years that I imagine quite a few people who regularly analyze survival data might assume that the Cox model, along with the Kaplan-Meier estimator and a few standard parametric models, encompass just about everything there is to say about the subject. This post introduces the counting process theory underlying survival analysis by examining a paper in which Bendix Carstensen demonstrates the equivalence of the Cox Portional Hazards model and a Poisson model.
We continue our series of posts looking into accounting and actuarial applications by showing how Sankey diagrams can be used to visualize cash flow information and hopefully improve communication with clients and decision makers who are not financial professionals.
Ninety-four new packages stuck to CRAN in July. Here are my “Top 40” selections in thirteen categories: Climate Modeling, Computational Methods, Data, Ecology, Genomics, Machine Learning, Mathematics, Medicine, Networks, Proteomics, Statistics, Utilities, and Visualization.
One hundred eighty-nine new packages made it to CRAN in June. Here are my “Top 40” selections in eleven categories: Computational Methods, Data, Ecology, Genomics, Machine Learning, Mathematics, Medicine, Statistics, Time Series, Utilities, and Visualizations.