Science Research Weekly

Episode 5: Stretching the Limits and Vigorous Calisthenics


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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
    • ...more
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      Science Research WeeklyBy Mark R Williamson