BinToOrd: Converts multivariate binary data to multivariate ordinal...

In MultiOrd: Generation of Multivariate Ordinal Variates

Description

Converts multivariate binary data to multivariate ordinal data using original ordinal probabilities.

Usage

BinToOrd(prop.vec.bin, ordPmat, Mlocation, bin.data)

Arguments

prop.vec.bin	Vector of marginal probabilities. It is usually a first component of the list returned by find.binary.prob
ordPmat	Input matrix of ordinal marginal probabilities
Mlocation	Vector of locations where dichotomization is done. It is usually a second component of the list returned by find.binary.prob
bin.data	Matrix of binary data generated using generate.binary

Details

As a part of the multivariate ordinal data generation, intermediate multivariate binary data are generated. This function converts multivariate binary data generated by generate.binary to the multivariate ordinal data.

Value

y	Matrix of multivariate ordinal data
Corr	Correlation matrix of y

Examples

## Not run: 	nObs = 1000; no.rows = 100000 
## Not run: 	ordPmat1 = matrix( c(0.15,0.70,0.40,
					0.55,0.10,0.25,
					0.25,0.10,0.15,
					0.05,0.10,0.20),4,3,byrow=TRUE) 
## End(Not run)
					
## Not run: \	cmat1= matrix( 	c(1,0.2,0.2,
				0.2,1,0.2,
				0.2,0.2,1),3,3,byrow=TRUE) 
## End(Not run)
				
## Not run: 	binObj = simBinCorr(ordPmat1, cmat1, no.rows) 
## Not run: 	ep0 = generate.binary( nObs, binObj$pvec, binObj$del.next) 
## Not run: 	Mydata= BinToOrd(binObj$pvec, ordPmat1, binObj$Mlocation, ep0) 	

MultiOrd documentation built on March 6, 2021, 1:08 a.m.