Episode 11: Putting the Meta in Meta and Drooling Over Donut Plots

In this episode, I learned there are both good and bad R books, umbrella reviews are meta on top of meta, flowcharts can be fashioned in ggplot2, and package ‘ggpie’ is more than mere fluff. References: Monotone Regression: A Simple and Fast O(n) PAVA Implementation Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web Doing Meta-Analysis with R - A Hands-On Guide Convergence analysis and approximate optimal temporal step sizes for some finite difference methods discretising Fisher’s equation Early warning signals of financial crises using persistent homology and critical slowing down: Evidence from difference correlation tests Methodological approaches for assessing certainty of the evidence in umbrella reviews: A scoping review Python 3.10.5 is available Weights for residuals in robust regression The effect of weight functions in a robust regression method Considerations for generating time-accurate animation with SAS Extra! Extra! Read all about how SAS is leading in analytics! Bug BBQ What Is Specification Error in Statistical Models? Becoming an R developer: the workshop Creating flowcharts with {ggplot2} R-packages: clinicalsignificance: Determine the Clinical Significance in   Clinical Trials mlrpro: Stepwise Regression with Assumptions   Checking ggpie: Pie, Donut and Rose Pie Plots gTestsMulti: New Graph-Based Multi-Sample Tests plnr: A System for Planing Analyses holiglm: Holistic Generalized Linear Models