| patt.worth {prefmod} | R Documentation |
Worth parameter are calculated from the results of a pattern model fit, i.e., from
pattPC.fit, pattR.fit, pattL.fit, and
pattLrep.fit or from a gnm-fit, respectively. For the latter, the
function only works if the design matrix had been generated using patt.design.
patt.worth(fitobj, obj.names = NULL, outmat = "worth")
fitobj |
Object of class |
obj.names |
names for the objects, for repeated measurement models just the names of objects for the first time point |
outmat |
a matrix of estimated worth parameters ( |
If the pattern model includes categorical subject covariates, the function provides estimates for all groups formed by the full crossclassification. Numerical subject covariates are not implemented (yet)(see Warning below).
patt.worth returns a matrix
of worth or model parameters. If subject covariates have been specified, each column
represents a groups defined by the crossclassification of the subject covariates.
The function plot gives a plot of the estimates.
If the pattern model has been fitted including numerical subject covariates, they are ignored. However, estimates for the remaining predictors are calculated for convenience. Please note, that these cannot be interpreted as standard estimates but are intercepts of the regression model where the objects (or reparameterized objects) are explained by one or more numerical subject covariates.
Reinhold Hatzinger
pattPC.fit, pattR.fit, pattL.fit, and
pattLrep.fit, plot
# fit only first three objects with SEX effect m2 <- pattPC.fit(cemspc, nitems = 3, formel = ~SEX, elim = ~SEX, undec = TRUE) # calculate and print worth parameters m2worth <- patt.worth(m2) m2worth