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Listen "Episode 16: The Wizard of Stats"
Episode Synopsis
In this episode, I clued in on the claims that Linear Programming Discriminant analysis is effective, mused on the methods of PROC SQL in SAS, and fired up a virtual machine to use for package ‘vmr’.
References:
moreThanANOVA: A user-friendly Shiny/R application for exploring and comparing data with interactive visualization
LPDA: A new classification method based on linear programming
Speedups in operations with regular expressions
Why learn SQL?
Correlated Errors in Confirmatory Factor Analysis
Network Graphs in R
vmrPoster
R-packages:
htmldf: Simple Scraping and Tidy Webpage Summaries
gpboost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
vmr: Virtual Machines for R
References:
moreThanANOVA: A user-friendly Shiny/R application for exploring and comparing data with interactive visualization
LPDA: A new classification method based on linear programming
Speedups in operations with regular expressions
Why learn SQL?
Correlated Errors in Confirmatory Factor Analysis
Network Graphs in R
vmrPoster
R-packages:
htmldf: Simple Scraping and Tidy Webpage Summaries
gpboost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
vmr: Virtual Machines for R
In God we trust