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R/ordinalize.R
In OrdNor: Concurrent Generation of Ordinal and Normal Data with Given Correlation Matrix and Marginal Distributions
Defines functions
ordinalize
Documented in
ordinalize
ordinalize <-
function(pvec, z) {
validate.plist(list(pvec),1)
Xord = numeric(length(z))
for (r in 1:length(pvec) ){
if (r !=length(pvec) ) {
t1 = qnorm(pvec[r])
t2 = qnorm(pvec[r+1] )
Xord[(t1<z)&(z<=t2)]= r
} else {
Xord[z>qnorm(pvec[r])]= r
}
}
return(Xord+1)
}
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OrdNor documentation built on March 6, 2021, 1:08 a.m.
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Defines functions ordinalize
Documented in ordinalize
ordinalize <-
function(pvec, z) {
validate.plist(list(pvec),1)
Xord = numeric(length(z))
for (r in 1:length(pvec) ){
if (r !=length(pvec) ) {
t1 = qnorm(pvec[r])
t2 = qnorm(pvec[r+1] )
Xord[(t1<z)&(z<=t2)]= r
} else {
Xord[z>qnorm(pvec[r])]= r
}
}
return(Xord+1)
}
Try the OrdNor package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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