censPPCC.test: Test for Normality

In USGS-R/smwrQW: Tools for censored data analysis

Test for Normality

Description

Computes the probability plot correlation coefficient test for departures from normality for left-censored data.

Usage

censPPCC.test(x)

Arguments

x	a vector of left-censored observations, missing values are removed before computation.

Value

An object of class "htest" having these components:

statistic	the value of the test statistic.
p.value	the attained p-value for the test.
data.name	a character string describing the name of the data used in the test.
method	a description of the method.
alternative	a description of the null and alternate hypotheses.

Note

The PPCC test is attractive because it has a simple, graphical interpretation: it is a measure of the correlation in a Q-normal plot of the uncensored data and is related to the Shapiro-Francia test for normality described by Royston (1993). The extension to multiple detection limit data is described in the help files in Millard (2001). The attained p-value for multiple detection limit data is only approximate.

References

Millard, S.P., 2001, EnvironmentalStats for Spotfire S+ Help, Version 2.0. Probability, Statistics & Information, Seattle, WA.
Royston, P., 1993, A toolkit for testing for non-normality in complete and censored samples: The Statistician, v. 42, p. 37–43.

See Also

ppcc.test, censpp

USGS-R/smwrQW documentation built on Oct. 11, 2022, 6:13 a.m.