vanWaerdenTest() R function from [PMCMRplus]

van der Waerden's Normal Scores Test

Performs van der Waerden's normal scores test.


vanWaerdenTest(x, ...)

## Default S3 method:
vanWaerdenTest(x, g, ...)

## S3 method for class 'formula'
vanWaerdenTest(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").

Details

For one-factorial designs with non-normally distributed residuals van der Waerden's normal scores test can be performed to test the H $_0: F_1(x) = F_2(x) = \ldots = F_k(x)$ against the H $_\mathrm{A}: F_i (x) \ne F_j(x)~ (i \ne j)$ with at least one strict inequality.

Note

A tie correction is not applied in this function.

Examples


vanWaerdenTest(count ~ spray, data = InsectSprays)

References

Conover, W. J., Iman, R. L. (1979) On multiple-comparisons procedures, Tech. Rep. LA-7677-MS, Los Alamos Scientific Laboratory.

van der Waerden, B. L. (1952) Order tests for the two-sample problem and their power, Indagationes Mathematicae 14 , 453--458.

vanWaerdenTest function