doubleGrubbsTest: Grubbs Double Outlier Test

In PMCMRplus: Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended

Grubbs Double Outlier Test

Description

Performs Grubbs double outlier test.

Usage

doubleGrubbsTest(x, alternative = c("two.sided", "greater", "less"), m = 10000)

Arguments

x	a numeric vector of data.
alternative	the alternative hypothesis. Defaults to "two.sided".
m	number of Monte-Carlo replicates.

Details

Let X denote an identically and independently distributed continuous variate with realizations x_i ~~ (1 \le i \le k). Further, let the increasingly ordered realizations denote x_{(1)} \le x_{(2)} \le \ldots \le x_{(n)}. Then the following model for testing two maximum outliers can be proposed:

x_{(i)} = \left\{ \begin{array}{lcl} \mu + \epsilon_{(i)}, & \qquad & i = 1, \ldots, n - 2 \\ \mu + \Delta + \epsilon_{(j)} & \qquad & j = n-1, n \\ \end{array} \right.

with \epsilon \approx N(0,\sigma). The null hypothesis, H_0: \Delta = 0 is tested against the alternative, H_{\mathrm{A}}: \Delta > 0.

For testing two minimum outliers, the model can be proposed as

x_{(i)} = \left\{ \begin{array}{lcl} \mu + \Delta + \epsilon_{(j)} & \qquad & j = 1, 2 \\ \mu + \epsilon_{(i)}, & \qquad & i = 3, \ldots, n \\ \end{array} \right.

The null hypothesis is tested against the alternative, H_{\mathrm{A}}: \Delta < 0.

The p-value is computed with the function pdgrubbs.

Value

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.

References

Grubbs, F. E. (1950) Sample criteria for testing outlying observations. Ann. Math. Stat. 21, 27–58.

Wilrich, P.-T. (2011) Critical values of Mandel's h and k, Grubbs and the Cochran test statistic. Adv. Stat. Anal.. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s10182-011-0185-y")}.

Examples

data(Pentosan)
dat <- subset(Pentosan, subset = (material == "A"))
labMeans <- tapply(dat$value, dat$lab, mean)
doubleGrubbsTest(x = labMeans, alternative = "less")

PMCMRplus documentation built on May 29, 2024, 8:34 a.m.