caChiTest: caChiTest: correspondence analysis tests without resampling.

In InPosition: Inference Tests for ExPosition

Description

caChiTest performs 3 sets of chi-square tests along the lines of Lebart's v-tests. These tests are designed to be conservative estimates of chi-square tests on contingency data. The tests treat this data in a standard chi-square framework, but are helpful to understand correspondence analysis data when permutation and bootstrap become unfeasible.

Usage

caChiTest(DATA, res, critical.value = 2)

Arguments

DATA	Data as would be entered for Correspondence Analysis (see link{epCA})
res	Results from correspondence analysis (e.g., output from link{epCA}).
critical.value	numeric. A value, analogous to a z- or t-score to be used to determine significance (via bootstrap ratio).

Value

a list with the following values:

j.sig.vals	boolean matrix. Identifies which column items are significant (based on critical.value).
j.signed.vals	chi-square values associated to column items, multiplied by the sign of their component scores ($fj).
j.p.vals	p values associated to column items in a chi-square test.
i.sig.vals	boolean matrix. Identifies which row items are significant (based on critical.value).
i.signed.vals	chi-square values associated to row items, multiplied by the sign of their component scores ($fi).
i.p.vals	p values associated to row items in a chi-square test.
omni.val	chi-square value associated to the table.
omni.p	p value associated to a chi-square tests of the table.

Author(s)

Derek Beaton

See Also

epCA.inference.battery

InPosition documentation built on May 2, 2019, 7:59 a.m.