Tag archive
Introduction: Bridging the Gap Between R and Python for HTML Reports Transitioning from R...
Analytical Evaluation of R as a First Programming Language for AI, Machine Learning, and...
I’m happy to share that I recently had the opportunity to give my first tech talk as a...
Abstract Distributed financial systems are usually designed around individual...
A runnable R tutorial covering single-factor and two-way ANOVA, assumption checks, Tukey HSD, and emmeans simple effects for significant interactions.
Statistics is full of formulas for confidence intervals, one per situation, each with assumptions you might be breaking. The bootstrap throws them all out and uses one idea instead, resample your data and watch. Here it is in a few lines of R.
R is an open-source language for statistical computing and data analysis; RStudio Server puts a full...
k-means is the go-to clustering algorithm, two simple steps repeated until things settle. But the same data can give different clusters depending on where you start, and it will happily find groups that are not there. Here it is in R, honest about both.
The maskedcauses R package for MLE in series systems with masked component failures, built on composable likelihood contributions and validated through simulation.
My graduate coursework from SIUe's math program is up: time series, regression, computational stats, multivariate analysis, and statistical methods.
An R package that gives hypothesis tests a consistent interface. Every test returns the same structure. You can write generic code that works across all of them.