February 2022

RObservations #25: Using R and Stan to Estimate Ad Effectiveness

February 1, 2022 | Benjamin Smith

Introduction Recently, I have started taking a course on Bayesian statistics and using Stan– a fast language designed specifically for preforming the simulations necessary for Bayesian analysis by employing Markov-Chain Monte Carlo (MCMC) algorithms. While it may sound abstract, thousands of users rely on Stan for statistical modeling, data analysis, ...
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RStudio on Kubernetes

February 1, 2022 | Pachá

About A few years ago I had an external drive that got damaged. I was able to repair it and I found many materials I thought were lost forever. Amongst nice Shiny apps, I found some codes to run RStudio on Kubernetes. After some minimal changes, I...
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Guidelines for writing good R code

February 1, 2022 | Philipp Probst

These guidelines are recommendations and are not meant to be obligatory. Many of the principles are useful and help working and collaborating more efficiently with R. Feel free to add your recommendations or remarks in the discussion section below. [Read more...]

RStudio Cloud – How to Get Started For Free

February 1, 2022 | Dario Radečić

RStudio Cloud is a hosted version of the well-known R IDE – RStudio. It was created to simplify teaching and learning R programming languages for organizations, professionals, teachers, trainers, students, and hobbyists. But how can you get started, and why should you? That’s what we’ll answer today. After reading, ...
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Conditional Mean in R with examples

February 1, 2022 | finnstats

The post Conditional Mean in R with examples appeared first on finnstats. If you want to read the original article, click here Conditional Mean in R with examples. Conditional Mean in R, to calculate a conditional mean in R, use the following syntax. mean(data[data$Name == 'India', 'points']) For ... [Read more...]

What is the Bradley-Terry model?

February 1, 2022 | kjytay

The Bradley-Terry model The Bradley-Terry model, named after R. A. Bradley and M. E. Terry, is a probability model for predicting the outcome of a paired comparison. Imagine that we have teams competing against each other. The model assigns team … Continue reading →
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