Episode 5: Stretching the Limits and Vigorous Calisthenics

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