normalScoresTest function

Lu-Smith Normal Scores Test

Lu-Smith Normal Scores Test

Performs the Lu-Smith normal score test

normalScoresTest(x, ...) ## Default S3 method: normalScoresTest(x, g, ...) ## S3 method for class 'formula' normalScoresTest(formula, data, subset, na.action, ...)

Arguments

  • x: a numeric vector of data values, or a list of numeric data vectors.
  • ...: further arguments to be passed to or from methods.
  • g: a vector or factor object giving the group for the corresponding elements of "x". Ignored with a warning if "x" is a list.
  • formula: a formula of the form response ~ group where response gives the data values and group a vector or factor of the corresponding groups.
  • data: an optional matrix or data frame (or similar: see model.frame) containing the variables in the formula formula. By default the variables are taken from environment(formula).
  • subset: an optional vector specifying a subset of observations to be used.
  • na.action: a function which indicates what should happen when the data contain NAs. Defaults to getOption("na.action").

Returns

A list with class "htest" containing the following components:

  • method: a character string indicating what type of test was performed.
  • data.name: a character string giving the name(s) of the data.
  • statistic: the estimated quantile of the test statistic.
  • p.value: the p-value for the test.
  • parameter: the parameters of the test statistic, if any.
  • alternative: a character string describing the alternative hypothesis.
  • estimates: the estimates, if any.
  • null.value: the estimate under the null hypothesis, if any.

Details

For one-factorial designs with non-normally distributed residuals the Lu-Smith normal score test can be performed to test the H0:F1(x)=F2(x)==Fk(x)_0: F_1(x) = F_2(x) = \ldots = F_k(x) against the HA:Fi(x)Fj(x) (ij)_\mathrm{A}: F_i (x) \ne F_j(x) ~ (i \ne j) with at least one strict inequality. This function is basically a wrapper function to pNormScore of the package SuppDists.

Examples

normalScoresTest(count ~ spray, data = InsectSprays)

References

Lu, H., Smith, P. (1979) Distribution of normal scores statistic for nonparametric one-way analysis of variance. Journal of the American Statistical Association 74 , 715--722.

See Also

vanWaerdenTest, kruskalTest, pNormScore

  • Maintainer: Thorsten Pohlert
  • License: GPL (>= 3)
  • Last published: 2024-09-08

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