partialAssociations {CoCoRaw}R Documentation

Show partial associations

Description

Print on standard output the two dimensional tables with margins, possible for each configuration in the cross classification of other variables, and compute the measures of partial associations on these tables.

Usage

partialAssociations(a = "", b = "", c = "", options, data = NULL, 
                    object = .object.of.thing(data = data, ...), ...)

Arguments

a A character string with the name of first variable.
b A character string with the name of second variable.
c A character string with the names of variables to condition on.
options A character string with options, currently not used.
data See exportCoCo.
object See exportCoCo.
... Additional arguments to generate the CoCo object from the data argument. See propertyModel.

Details

Value

TRUE

Author(s)

Jens Henrik Badsberg

References

Badsberg, J.H.: A guide to CoCo, JSS, 2001 ( http://www.jstatsoft.org/v06/i04/ ) and Badsberg, J.H.: Xlisp+CoCo, Aalborg University, 1996.

See Also

showTest.

Examples

library(CoCo);
data(HairEyeColor);
CoCoObject <- makeCoCo();
enterTable(HairEyeColor, object = CoCoObject);

partialAssociations(":Hair:Eye", object = CoCoObject);
partialAssociations(":Hair", ":Eye", object = CoCoObject);
partialAssociations(":Hair", ":Eye", ":Sex", object = CoCoObject);

endCoCo(object = CoCoObject);

# - - - - -  - - - - -  - - - - -  - - - - -  - - - - -  - - - - -  - - - - - #

library(CoCo);
data(Reinis);
CoCoObject <- makeCoCo();
enterTable(Reinis, object = CoCoObject);
partialAssociations("AB", object = CoCoObject);

setOrdinal("AB", object = CoCoObject);
partialAssociations("AB", object = CoCoObject);

# Get Fisher's EXACT test when the total count of the sub table
# is less than 1000:

partialAssociations("A", "B", "F", object = CoCoObject);

endCoCo(object = CoCoObject);


[Package CoCoRaw version 0.1.6.5 Index]