test.var.het: Test for heterogeneity of variances among samples in a...

Description Usage Arguments Value Note References See Also Examples

Description

Test for heterogeneity of variances among samples in a time-series

Usage

1
test.var.het(y, method = "Bartlett")

Arguments

y

a paleoTS object

method

test to use; currently only "Bartlett" is implemented

Value

a list with the test statistic, degrees of freedom, and p-value

Note

Most often, this function will be used to assess if it is reasonable to pool variances across samples using pool.var. A significant result means that the null hypothesis of equal variances across samples is rejected. Even in this case, however, it may still be preferable to pool variances, at least for some populations, if sample sizes are quite low.

References

Sokal, R. R and F. J. Rohlf. 1995. Biometry 3rd Ed.

See Also

pool.var

Examples

1
2
data(cantius_L)
test.var.het(cantius_L)  # significant, but still may want to pool variances

paleoTS documentation built on May 2, 2019, 1:07 p.m.