Potpourri: Statistics #52

– Here’s why 2019 is a great year to start with R: A story of 10 year old R code then and now
– How the BBC Visual and Data Journalism team works with graphics in R
– Special Topics in Data Science: Responsible Data Science
– Causal Data Science
– From Psychologist to Data Scientist
– Causal Graphs Seminar
– R Coding Style Guide
– Explaining the 2016 Democratic Primary with Machine Learning
– A guide to making your data analysis more reproducible
– Exploring the multiplication table with R
– hcandersenr: An R Package for H.C. Andersens fairy tales
– Solving the model representation problem with broom
– Basic Stata Syntax Workshop
– Bayesian Logistic Regression using brms, Part 1
– Half a dozen frequentist and Bayesian ways to measure the difference in means in two groups
– Understanding propensity score weighting
– Causal Inference Book
– 15 new ideas and new tools for R gathered from the RStudio Conference 2019
– Keeping up to date with R news
– tidylog