wtable: Computes a (possibly weighted) contingency table

In GDAtools: A Toolbox for the Analysis of Categorical Data in Social Sciences, and Especially Geometric Data Analysis

Description

Computes a contingency table from one or two vectors, with the possibility of specifying weights.

Usage

wtable(var1,var2=NULL,w=rep.int(1,length(var1)),digits=0,mar=TRUE,na=TRUE)

Arguments

var1	an object which can be interpreted as factor
var2	an optional object which can be interpreted as factor
w	an optional numeric vector of weights (by default, a vector of 1 for uniform weights)
digits	integer indicating the number of decimal places (default is 0)
mar	logical. If TRUE (default), margins are computed
na	logical. If TRUE (default), 'NA' are treated as a category. If FALSE, they are ignored

Value

Returns a contingency table in matrix format.

Author(s)

Nicolas Robette

See Also

table, prop.wtable

Examples

## Computes a contingency table
## of jazz and age variables
## from the 'Music' example data set
## with or without weights
data(Music)
wtable(Music$Jazz)
wtable(Music$Jazz,Music$Age)

weight <- sample(0:20,nrow(Music),TRUE)/10
wtable(Music$Jazz,w=weight,digits=1)
wtable(Music$Jazz,Music$Age,weight,1)

GDAtools documentation built on May 29, 2017, 9:48 p.m.