kwayr function

Internal Functions for K-Way analysis of variance

Internal Functions for K-Way analysis of variance

These are internal functions used to construct the robust anova table. The function raov is the main program.

kwayr(levs, data,...) cellx(X) khmat(levsind,permh) pasteColsRfit(x,sep="") redmod(xmat,amat) subsets(k)

Arguments

  • levs: vector of levels corresponding to each of the factors
  • data: data matrix in the form y, factor 1,..., factor k
  • X: n x k matrix where the columns represent the levels of the k factors.
  • levsind: Internal parameter.
  • permh: Internal parameter.
  • x: n x k matrix where the columns represent the levels of the k factors.
  • xmat: n x p full model design matrix
  • amat: Internal parameter.
  • k: Internal parameter.
  • sep: Seperator used in pasteColsRfit
  • ...: additional arguments

References

Hettmansperger, T.P. and McKean J.W. (2011), Robust Nonparametric Statistical Methods, 2nd ed., New York: Chapman-Hall.

Hocking, R. R. (1985), The Analysis of Linear Models, Monterey, California: Brooks/Cole.

Author(s)

Joseph McKean, John Kloke

Note

Renamed pasteCols of library plotrix written by Jim Lemon et. al. June 2011 under GPL 2

See Also

raov

  • Maintainer: John Kloke
  • License: GPL (>= 2)
  • Last published: 2024-05-25

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