Calculates the design vector as required to generate the lsmean
and standard error. ls_design_equal
calculates it by
applying an equal weight per covariate combination whilst
ls_design_proportional
applies weighting proportional
to the frequency in which the covariate combination occurred
in the actual dataset.
Usage
ls_design_equal(data, frm, covars, fix)
ls_design_proportional(data, frm, covars, fix)
Arguments
- data
A data.frame
- frm
Formula used to fit the original model
- covars
a character vector of variables names that exist in
data
which should be extracted (ls_design_equal
only)
- fix
A named list of variables with fixed values