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Flexible Graphical Assessment of Experimental Designs in R: The vdg Package

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  • Schoonees, Pieter
  • le Roux, Niël
  • Coetzer, Roelof

Abstract

The R package vdg provides a flexible interface for producing various graphical summaries of the prediction variance associated with specific linear model specifications and experimental designs. These methods include variance dispersion graphs, fraction of design space plots and quantile plots which can assist in choosing between a catalogue of candidate experimental designs. Instead of restrictive optimization methods used in traditional software to explore design regions, vdg utilizes sampling methods to introduce more flexibility. The package takes advantage of R's modern graphical abilities via ggplot2 (Wickham 2009), adds facilities for using a variety of distance methods, allows for more flexible model specifications and incorporates quantile regressions to help with model comparison.

Suggested Citation

  • Schoonees, Pieter & le Roux, Niël & Coetzer, Roelof, 2016. "Flexible Graphical Assessment of Experimental Designs in R: The vdg Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i03).
    • Handle: RePEc:jss:jstsof:v:074:i03
    DOI: http://hdl.handle.net/10.18637/jss.v074.i03
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    References listed on IDEAS

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    1. Khuri, AndreI. & Kim, Hyuk Joo & Um, Yonghwan, 1996. "Quantile plots of the prediction variance for response surface designs," Computational Statistics & Data Analysis, Elsevier, vol. 22(4), pages 395-407, August.
    2. Dupuy, Delphine & Helbert, Céline & Franco, Jessica, 2015. "DiceDesign and DiceEval: Two R Packages for Design and Analysis of Computer Experiments," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 65(i11).
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