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Listen "Episode 4: Stealing Python’s Thunder and Rolling Your Rs"
Episode Synopsis
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
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
In God we trust