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

Ver todos los episodios