Calculates the expected frequencies of counts using log liniear model.
Usage
expected_cfa(des, observed, family = poisson(), intercept = FALSE, ...)
Arguments
des
a designmatrix (object of class "matrix") as returned by function design_cfg_cfa.
observed
a integer vector with lenght(observed) == dim(des)[1]. WARNING: The observed frequencies counts must be in an order corresponding to the coding sheme in designmatix (see argument des).
family
argument passed to glm.fit with default set to poisson()
intercept
argument passed to glm.fit with default set to FALSE
...
aditional arguments optional passed to glm.fit
Details
No details
Value
An vector object giving the expected counts.
References
No references in the moment
Examples
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# expected counts for LienertLSD data example.
designmatrix<-design_cfg_cfa(kat=c(2,2,2)) # generate an designmatrix (only main effects)
data(LienertLSD) # load example data
observed<-LienertLSD[,4] # extract observed counts
expected_cfa(des=designmatrix, observed=observed) # calculation of expected counts
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