Description

In this episode, I stretch before vigorous calisthenics, give a thumbs up to O’Reilly coding books, get to the bottom of R vectorization, try not to panic during   debugging, and showcase the R-package ‘fauxnaif’.

References:

• A NSFD Discretization of Two-Dimensional Singularly Perturbed Semilinear Convection-Diffusion Problems
• Misnomers regarding outliers and their usefulness in statistical modeling
• On Bartlett's sphericity test for correlation
• Two perspectives on numerical integration
• R 4.2.0 Released
• Parameter vs Statistic: Examples & Differences
• Spurious Correlation: Definition, Examples & Detecting
• Hey, check this out, it’s really cool: A Bayesian framework for interpreting findings from impact evaluations
• Top 10 Best R Books For Beginners
• How to create your own functions in R
• RObservations #30: Fixing R’s “messy string concatenation” with a special function
• Where for (loop) ARt Thou?
• RStudio Community Table Gallery
• Don’t Panic! a Scientific Approach to Debugging Production Failure

R   packages:

• CircularSilhouette:   Fast Silhouette on Circular or Linear Data Clusters
• forplo:   Flexible Forest Plots
• pspatreg:   Spatial and Spatio-Temporal Semiparametric Regression Models with Spatial   Lags
• SLBDD:   Statistical Learning for Big Dependent Data
• cleaR:   Clean the R Console and Environment
• gameR:   Color Palettes Inspired by Video Games
• prettymapr:   Scale Bar, North Arrow, and Pretty Margins in R
• fauxnaif:   Convert Values to NA