boxM | R Documentation |
Box's M-test
boxM(
Y,
group,
tol = 1e-10,
fxn = cor,
method = c("pearson", "kendall", "spearman")
)
Y |
response matrix |
group |
factor defining groups |
tol |
tolerance for eigen values |
fxn |
define function. Here default is cor to compare correlation structure. Use cov to compare covariance structure like in heplots::boxM |
method |
specify which correlation method: "pearson", "kendall" or "spearman" |
data(iris)
boxM( iris[,1:4], iris[,5])
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