boxMtest {MVET} | R Documentation |
Box's M-test
Description
Performs Box's M-test for homogeneity of covariance matrices derived from multivariate normality data according to a single classification factor. This test is based on the chi-square approximation.
Usage
boxMtest(data,
group)
Arguments
data |
A numeric matrix or data frame. |
group |
In either vector or factor form, the length of the group must correspond to the number of observations |
Value
M.stat |
Box's M-test statistic approximates the chi-square distribution. |
df |
The degree of freedom is related to the test statistic. |
p.value |
The p-value of the test statistic. |
See Also
mardiatest
Examples
data(wine)
class <- wine$class
winedata <- subset(wine, select = -class)
boxMtest(winedata, class)
[Package MVET version 0.1.0 Index]