| collapseCategories {dembase} | R Documentation |
Merge multiple categories within a dimension or dimensions of
a DemographicArray object.
collapseCategories( object, dimension = NULL, old, new, concordance, weights = NULL, ... ) ## S4 method for signature 'Counts,ANY,ANY,ANY,missing' collapseCategories(object, dimension = NULL, old, new, weights = NULL) ## S4 method for signature 'Counts,ANY,missing,missing,OneToOne' collapseCategories(object, dimension = NULL, concordance, weights = NULL) ## S4 method for signature 'Counts,ANY,missing,missing,ManyToOne' collapseCategories(object, dimension = NULL, concordance, weights = NULL) ## S4 method for signature 'Values,ANY,ANY,ANY,missing' collapseCategories(object, dimension, old, new, weights) ## S4 method for signature 'Values,ANY,missing,missing,ManyToOne' collapseCategories(object, dimension, concordance, weights) ## S4 method for signature 'Values,ANY,missing,missing,OneToOne' collapseCategories(object, dimension = NULL, concordance, weights = NULL)
object |
Object of class |
dimension |
Character or numeric vector giving the name or index of the dimension where the categories are found - or names or indices if more than one dimension is being changed. |
old |
Character vector containing the names of the categories to be collapsed. |
new |
Character vector of length 1 giving the name of the new category formed from the old categories. |
concordance |
Object of class |
weights |
Object of class |
... |
Not currently used. |
The categories to be collapsed, and the categories that result from collapsing can
be described through old and new, or through a "ManyToOne"
concordance: see below for examples.
Pairs of of dimensions with dimtypes origin and destination or parent
and child can be selected by their base name: see the example below.
If no dimension is supplied, collapseCategories attempts to modify all dimensions.
weights are required if object has class
Values and are prohibited if
object has class Counts.
collapseIntervals, collapseIterations,
collapseOrigDest, collapseDimension,
dimtypes, dimscales
titanic <- Counts(Titanic, dimtypes = c(Age = "state"))
collapseCategories(titanic, dimension = "Class",
old = c("1st", "2nd", "3rd"),
new = "Passengers")
## can also use the dimension index, though the name is clearer
collapseCategories(titanic, dimension = 1,
old = c("1st", "2nd", "3rd"),
new = "Passengers")
## set up and use a concordance
conc <- data.frame(status = c("1st", "2nd", "3rd", "Crew"),
wealth = c("Rich", "Mixed", "Poor", "Mixed"))
conc <- Concordance(conc)
collapseCategories(titanic, dimension = "Class", concordance = conc)
library(demdata)
rates <- Values(VADeaths2)
popn <- Counts(VAPopn)
collapseCategories(rates, dimension = "sex", old = c("Male", "Female"),
new = "Combined", weights = popn)
occ <- occupationalStatus
names(dimnames(occ)) <- c("occupation_parent", "occupation_child")
occ <- Counts(occ)
## select a pair of dimensions by specifying a base name
collapseCategories(occ, dimension = "occupation",
old = c("2", "5"), new = "9")
## no dimension specified, so changes made to all dimensions
collapseCategories(occ, old = c("2", "5"), new = "9")