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

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