PPCCtest: Probability Plot Correlation Coefficient(PPCC) Test for...

In MVET: Multivariate Estimates and Tests

Probability Plot Correlation Coefficient(PPCC) Test for Multivariate Normality Test

Description

The correlation coefficient of the quantiles and mahalanobis square are tested by using the critical value table by Filliben (1975) for the multivariate normality test.

Usage

PPCCtest(data,
         level = 0.05)

Arguments

data	A numeric matrix or data frame.
level	At the 0.01 or 0.05 significance level, the critical value. (default = 0.05)

Value

data.cnt	Observation n data count.
PPCC.value	Correlation coefficient value.
critical.value	Critical value proposed by Filliben (1975), corresponding to data.cnt and PPCC.value.
test.res	Final result of multivariate normality.
QQPlot	Shows Chi-Square Q-Q plot.

References

Filliben, J. J. (1975), The Probability Plot Correlation Coefficient Test for Normality, Technometrics 17, 111-117.

Examples

data(wine)
class1.wine <- subset(wine, class == 1)[, -1]
PPCCtest(class1.wine, level = 0.05)

MVET documentation built on June 22, 2024, 11:25 a.m.