test.var.het | R Documentation |

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

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

`y` |
a |

`method` |
test to use; currently only |

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

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.

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

`pool.var`

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

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.