returnNcells {CoCoRaw} | R Documentation |
Return the number of cells in the table formed by the cross classification according to a given set of discrete variables.
returnNcells(set = "*", full = FALSE, total = FALSE, data = NULL, object = .object.of.thing(data = data, ...), ...)
set |
A character string with a set of discrete variables. |
full |
Logical, if full is TRUE then
all specified variables (setUseVariables )
are considered. |
total |
Logical, if total is TRUE then
also missing levels (excludeMissing )
are counted. |
data |
See exportCoCo . |
object |
See exportCoCo . |
... |
Additional arguments to generate the CoCo object
from the data argument. See propertyModel . |
An integer.
Jens Henrik Badsberg
Badsberg, J.H.: A guide to CoCo, JSS, 2001 ( http://www.jstatsoft.org/v06/i04/ ) and Badsberg, J.H.: Xlisp+CoCo, Aalborg University, 1996.
enterNames
,
setUseVariables
and excludeMissing
.
library(CoCo) data(Hochberg77) ftable(Hochberg77, col.vars=4:6) # Without "data" require ending the CoCo object: # returnNcells(data = Hochberg77); # endCoCo(); # With CoCo object: CoCoObject <- makeCoCo(); enterTable(Hochberg77, missing = c(1, 1, 0, 0, 0, 0), object = CoCoObject); showOptions("specification", object = CoCoObject) returnNcells(object = CoCoObject); # With only a subset: missing <- c(1, 1, 0, 0, 0, 0); enterNames(names(dimnames(Hochberg77)), levels = dim(Hochberg77) - missing, missing = missing, CoCoObject); setUseVariables("bcdef.", object = CoCoObject) enterTable(c(Hochberg77), object = CoCoObject); showOptions("specification", object = CoCoObject) returnNcells(object = CoCoObject); returnNcells(set = "abc", object = CoCoObject); returnNcells(set = "bc.", full = FALSE, total = FALSE, object = CoCoObject); returnNcells(set = "bc.", full = FALSE, total = TRUE, object = CoCoObject); returnNcells(set = "abc.", full = TRUE, total = FALSE, object = CoCoObject); returnNcells(set = "abc.", full = TRUE, total = TRUE, object = CoCoObject); excludeMissing("in", set = "bc.", object = CoCoObject); returnNcells(set = "bc.", full = FALSE, total = FALSE, object = CoCoObject); returnNcells(set = "bc.", full = FALSE, total = TRUE, object = CoCoObject); returnNcells(set = "abc.", full = TRUE, total = FALSE, object = CoCoObject); returnNcells(set = "abc.", full = TRUE, total = TRUE, object = CoCoObject); endCoCo(object = CoCoObject); # With continuous: library(CoCoCg); data(Rats); CoCoObject <- makeCoCoCg(); enterDataFrame(Rats, object = CoCoObject); returnNcells(set = "ab;", object = CoCoObject); returnNcells(object = CoCoObject); endCoCo(object = CoCoObject);