Frequency tables of predicted cell counts from latent class analysis
Calculates predicted cell frequencies based on an estimated latent class model.
poLCA.table(formula, condition, lc)
formula |
A formula expression of the form |
condition |
A list containing the values of the manifest variables to hold fixed when creating the table specified by the |
lc |
A model object previously estimated using the |
This function outputs predicted cell counts for user-specified combinations of the manifest variables, based on a latent class model estimated by the poLCA function. The predcell table outputted automatically by poLCA also contains predicted cell frequencies, but only for cells containing at least one observation. In contrast, poLCA.table will calculate predicted cell counts for all cells, including those with zero observations.
A vector or table containing the specified frequency distribution.
data(gss82) f <- cbind(PURPOSE,ACCURACY,UNDERSTA,COOPERAT)~1 gss.lc2 <- poLCA(f,gss82,nclass=2) gss.lc2$predcell poLCA.table(formula=COOPERAT~1,condition=list(PURPOSE=3,ACCURACY=1,UNDERSTA=2),lc=gss.lc2) poLCA.table(formula=COOPERAT~UNDERSTA,condition=list(PURPOSE=3,ACCURACY=1),lc=gss.lc2) poLCA.table(formula=COOPERAT~UNDERSTA,condition=list(),lc=gss.lc2)
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