Understanding the Probability Problem in Support Vector Machines using R: A Practical Guide to Correctly Specifying Probabilities and Interpreting Results

Grouping R DataFrames by Name and Performing T-Tests with Confidence Intervals

Larger-than-Memory Survey Analysis with R and Apache Arrow

Estimating Mean and Variance with Monte Carlo Methods Using Density Kernels