api-tabDist: Marginalize and condition in multidimensional array.

api-tabDistR Documentation

Marginalize and condition in multidimensional array.


Marginalize and condition in a multidimensional array which is assumed to represent a discrete multivariate distribution.


tabDist(tab, marg = NULL, cond = NULL, normalize = TRUE)



Multidimensional array with dimnames.


A specification of the desired margin; a character vector, a numeric vector or a right hand sided formula.


A specification of what is conditioned on. Can take two forms: Form one is a a character vector, a numeric vector or a right hand sided formula. Form two is as a simple slice of the array, which is a list of the form var1=value1, var2=value2 etc.


Should the result be normalized to sum to 1.


A multidimensional array.


Søren Højsgaard, sorenh@math.aau.dk


hec <- HairEyeColor

is.named.array( hec )
## We need dimnames, and names on the dimnames

## Marginalize:
tabDist(hec, marg= ~Hair + Eye)
tabDist(hec, marg= ~Hair:Eye)
tabDist(hec, marg= c("Hair", "Eye"))
tabDist(hec, marg= 1:2)

tabDist(hec, marg= ~Hair + Eye, normalize=FALSE)

## Condition
tabDist(hec, cond= ~Sex + Hair)
tabDist(hec, cond= ~Sex:Hair)
tabDist(hec, cond= c("Sex", "Hair"))
tabDist(hec, cond= c(3,1))

tabDist(hec, cond= list(Hair="Black"))
tabDist(hec, cond= list(Hair=1))

## Not run: 
## This will fail
tabDist(hec, cond= list(Hair=c("Black", "Brown")))
tabDist(hec, cond= list(Hair=1:2))

## End(Not run)
## But this will do the trick
a <- tabSlice(hec, slice=list(Hair=c("Black", "Brown")))
tabDist(a, cond=~Hair)

## Combined
tabDist(hec, marg=~Hair+Eye, cond=~Sex)
tabDist(hec, marg=~Hair+Eye, cond="Sex")

tabDist(hec, marg=~Hair+Eye, cond=list(Sex="Male"))
tabDist(hec, marg=~Hair+Eye, cond=list(Sex="Male"), normalize=FALSE)

tabDist(hec, cond=list(Sex="Male"))
tabDist(hec, cond=list(Sex="Male"), normalize=FALSE)

gRbase documentation built on April 2, 2022, 5:06 p.m.