legacy.WilcoxonMannWhitney: Non-PIM implementations of distributionfree tests

In pimold: Probabilistic Index Models

Description

Non-PIM implementations of distributionfree tests

Usage

legacy.WilcoxonMannWhitney(data, out, group, block, verbosity = 0)

legacy.KruskalWallis(data, out, group, block, verbosity = 0)

legacy.MackSkillings(data, out, group, block, verbosity = 0)

legacy.BrownHettmansperger(data, out, group, block, verbosity = 0)

legacy.JonckheereTerpstra(data, out, group, block, verbosity = 0)

legacy.MackWolfe(data, out, group, block, verbosity = 0, levelP)

Arguments

data	Context where out, group and block are to be interpreted
out	Column of data that holds the outcomes (responses)
group	Column of data that holds the predicting variable
block	Column of data that holds the blocking variable. This can be left out if no blocking is present
verbosity	The higher this value, the more levels of progress and debug information is displayed (note: in R for Windows, turn off buffered output)
levelP	The level of the grouping variable that is the "top" of the umbrella.

Value

a list holding the following items:

statistic	The test statistic.
p.value	p-value for the test.
df	Degress of freedom (if relevant, otherwise NA).
conversion	Function to convert the pim estimates to the test statistic.

Note

These functions are merely provided for comparison. The pim function supports generic ways of estimating these values. For generosity, the parameters to all of them are the same, though some are not relevant (e.g. block for WMW).

pimold documentation built on May 2, 2019, 5:50 p.m.