PMCMRplus: mandelhTest – R documentation

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mandelhTest

Mandel's h Test According to E 691 ASTM

Description

The function calculates the consistency statistics h and corresponding p-values for each group (lab) according to Practice E 691 ASTM.

Usage

mandelhTest(x, ...)

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

## S3 method for class 'formula'
mandelhTest(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 `NA`s. Defaults to `getOption("na.action")`.

Value

A list with class "mandel" 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.
p.value: the p-value for the test.
statistic: the estimated quantiles of Mandel's statistic.
alternative: a character string describing the alternative hypothesis.
grouplev: a character vector describing the levels of the groups.
nrofrepl: the number of replicates for each group.

References

Practice E 691 (2005) Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method, ASTM International.

Examples

data(Pentosan)
mandelhTest(value ~ lab, data=Pentosan, subset=(material == "A"))

PMCMRplus

Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended

v1.9.0

GPL (>= 3)

Authors

Thorsten Pohlert [aut, cre] (<https://orcid.org/0000-0003-3855-3025>)

Initial release

2021-01-12