Description

In this episode, I didn’t get a lot of sleep. But I did get a lot of quirky Python, classy SAS, and ridiculous R.

References:

• A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records
• Statistical inference for a constant-stress partially accelerated life tests based on progressively hybrid censored samples from inverted Kumaraswamy distribution
• Python 3.11.0b5  is now available
• How to reveal new connections in a knowledge graph with link prediction
• https://blogs.sas.com/content/iml/2022/08/01/examples-monte-carlo-simulation.html
• 5 pillars for a successful DataOps strategy
• June 2022: “Top 40” New CRAN Packages
• Bioinformatics Analysis of Omics Data with the Shell & R
• Script monkey!
• Getting fun with ggdogs, ggcats and gganimate

R-packages:

• gganimate