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R Package FrF2 for Creating and Analyzing Fractional Factorial 2-Level Designs

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  • Grömping, Ulrike

Abstract

This article describes the R package FrF2 for design and analysis of experiments with 2-level factors. The package offers both regular and non-regular fractional factorial 2-level designs, in the regular case with blocking and split plot facilities and algorithms for ensuring estimability of certain two-factor interactions. Furthermore, simple analysis facilities are on offer, first and foremost plotting functions for half normal plots, main effects and interaction plots, and cube plots. Package FrF2 receives infrastructure support from package DoE.base and heavily builds on a subgraph isomorphism algorithm from package igraph for one of its estimability algorithms.

Suggested Citation

  • Grömping, Ulrike, 2014. "R Package FrF2 for Creating and Analyzing Fractional Factorial 2-Level Designs," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i01).
    • Handle: RePEc:jss:jstsof:v:056:i01
    DOI: http://hdl.handle.net/10.18637/jss.v056.i01
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    References listed on IDEAS

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    1. C.‐S. Cheng & D. M. Steinberg & D. X. Sun, 1999. "Minimum aberration and model robustness for two‐level fractional factorial designs," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 85-93.
    2. Ulrike Grömping, 2012. "Creating clear designs: a graph-based algorithm and a catalog of clear compromise plans," IISE Transactions, Taylor & Francis Journals, vol. 44(11), pages 988-1001.
    3. Lenth, Russell V., 2009. "Response-Surface Methods in R, Using rsm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i07).
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    Cited by:

    1. VÁZQUEZ-ALCOCER, Alan & XU, Hongquan, 2018. "Construction of two-level nonregular designs of strength three with large run sizes," Working Papers 2018003, University of Antwerp, Faculty of Business and Economics.

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