Description

In this episode, I tried to keep my acronyms straight, dealt with big and tall (data), poked the ribs of SPSS, and contrasted the PIC with the AIC (more acronyms on the march!)

References:

• Fast Penalized Regression and Cross Validation for Tall Data with the oem Package
• synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data
• BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R
• Facilitating time series classification by linear law-based feature space transformation
• Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery
• Visualize dependencies of missing values
• Formatting your Microsoft Excel output using ODS Excel
• How to use the image function in R
• How to create a heatmap in R
• The pheatmap function in R
• SAS or R-Yould Should Know!
• Understanding ShinyApps

R-packages:

• worrrd: Generate Wordsearch and Crossword Puzzles
• picR: Predictive Information Criteria for Model Selection