get.cocor.input {cocor}

Get input parameters of a cocor result object

Description

Returns input parameters of a cocor result object of class 'cocor.indep.groups', 'cocor.dep.groups.overlap', or 'cocor.dep.groups.nonoverlap' as a list with each slot representing a list element.

Usage

get.cocor.input(result.object)

## S4 method for signature 'cocor'
get.cocor.input(result.object)

Arguments

result.object

A cocor result object of class 'cocor.indep.groups', 'cocor.dep.groups.overlap', or 'cocor.dep.groups.nonoverlap'.

Value

Returns a list containing all input parameters as list elements:

r1.jk

A number specifying the correlation between j and k measured in group 1 (only for result objects of class 'cocor.indep.groups').

r2.hm

A number specifying the correlation between h and m measured in group 2 (only for result objects of class 'cocor.indep.groups').

n1

An integer defining the size of group 1 (only for result objects of class 'cocor.indep.groups').

n2

An integer defining the size of group 2 (only for result objects of class 'cocor.indep.groups').

r.jk

A number specifying the correlation between j and k (only for result objects of class 'cocor.dep.groups.overlap' and 'cocor.dep.groups.nonoverlap').

r.jh

A number specifying the correlation between j and h (only for result objects of class 'cocor.dep.groups.overlap').

r.hm

A number specifying the correlation between h and m (only for result objects of class 'cocor.dep.groups.nonoverlap').

n

An integer defining the size of the group (only for result objects of class 'cocor.dep.groups.overlap' and 'cocor.dep.groups.nonoverlap').

alternative

A character string specifying whether the alternative hypothesis is two-sided ("two.sided") or one-sided ("greater" or "less", depending on the direction).

alpha

A number defining the alpha level for the hypothesis test.

conf.level

A number defining the level of confidence for the confidence interval.

null.value

A number defining the hypothesized difference between the two correlations used for testing the null hypothesis.

data.name

A vector of character strings describing the data/groups.

var.labels

A vector of four character strings specifying the labels for j, k, h, and m (in this order).

See Also

get.cocor.results, cocor, cocor.indep.groups, cocor.dep.groups.overlap, cocor.dep.groups.nonoverlap

Examples

data("aptitude")

cocor.result <- cocor(~knowledge + intelligence.a | logic + intelligence.a,
      aptitude$sample1)
get.cocor.input(cocor.result)