ds.fTest: Distributed F Test to Compare Two Variances
In paularaissa/distStatsClient: Distributed Multiple Imputations

Description Usage Arguments Details Value Dependencies Author(s) Examples

Performs an F test to compare the variances of two samples from normal populations.

1 2	ds.fTest(x = NULL, y = NULL, ratio = 1, conf.level = 0.95, alternative = c("two.sided", "less", "greater"), datasources = NULL)

`x`	a character, the name of a numeric vector of data values.
`y`	a character, the name of a numeric vector of data values.
`ratio`	the hypothesized ratio of the population variances of x and y.
`conf.level`	confidence level for the returned confidence interval.
`alternative`	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". You can specify just the initial letter.
`datasources`	a list of opal object(s) obtained after login in to opal servers; these objects hold also the data assign to R, as `data frame`, from opal datasources.

The null hypothesis is that the ratio of the variances of the populations from which x and y were drawn, or in the data to which the linear models x and y were fitted, is equal to ratio.

A list containing the following components:

`statistic`	the value of the F test statistic.
`parameter`	the degrees of the freedom of the F distribution of the test statistic.
`p.value`	the p-value of the test.
`conf.int`	a confidence interval for the ratio of the population variances.
`estimate`	the ratio of the sample variances of x and y.
`null.value`	the ratio of population variances under the null.
`alternative`	a character string describing the alternative hypothesis.
`method`	the character string "F test to compare two variances".