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, ...)
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 |
formula |
a formula of the form |
data |
an optional matrix or data frame (or similar: see
|
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 |
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) = … = F_k(x) against the H_\mathrm{A}: F_i (x) \ne F_j(x)~ (i \ne j) with at least one strict inequality.
A tie correction is not applied in this function.
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(count ~ spray, data = InsectSprays)
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