Episode 4: Stealing Python’s Thunder and Rolling Your Rs

In this episode, I jump into Julia packages, estimate how to pronounce the generalized Kibria-Lukman estimator, commiserate with Python, and showcase the R-package ‘rsconnect’. References: Generalized Kibria-Lukman Estimator: Method, Simulation, and Application Trending Julia Packages Use a heat map to visualize an ordinal response in longitudinal data The McNemar test in SAS Happy Birthday Neyman: What was Neyman opposing when he opposed the ‘Inferential’ Probabilists? Your weekend Phil Stat reading How to Interpret Adjusted R-Squared and Predicted R-Squared in Regression Analysis Three Principles of Experimental Designs MLDataR – Real-world Datasets for Machine Learning Applications Getting started with Python using R and reticulate Text Analysis of Job Descriptions for Data Scientists, Data Engineers, Machine Learning Engineers and Data Analysts R-packages: bookdown: Authoring Books and Technical Documents with R Markdown rconfig: Manage R Configuration at the Command Line BayesPPD:  Bayesian Power Prior Design spatialreg: Spatial Regression Analysis pagoda2: Single Cell Analysis and Differential Expression microeco: Microbial Community Ecology Data Analysis paletteknife: Create Colour Scales and Legend from Continuous or Categorical Vectors starter: Starter Kit for New Projects rsconnect: Deployment Interface for R Markdown Documents and Shiny Applications