Specify reference categories for all categorical covariates in the model
The function is a helper function that asks questions and, depending on the
answers given by the user,
returns the input for the argument refcats in the main analysis
functions
*_imp.
set_refcat(data, formula, covars, auxvars = NULL)
data |
a |
formula |
optional; model formula or a list of formulas
(used to select subset of relevant columns of |
covars |
optional; vector containing the names of relevant columns of
|
auxvars |
optional; formula containing the names of relevant columns of
|
The arguments formula, covars and auxvars can be used
to specify a subset of the data to be considered. If non of these
arguments is specified, all variables in data will be considered.
## Not run:
# Example 1: set reference categories for the whole dataset and choose
# answer option 3:
set_refcat(data = NHANES)
3
# insert the returned string as argument refcats
mod1 <- lm_imp(SBP ~ age + race + creat + educ, data = NHANES,
refcats = 'largest')
# Example 2:
# specify a model formula
fmla <- SBP ~ age + gender + race + bili + smoke + alc
# write the output of set_refcat to an object
ref_mod2 <- set_refcat(data = NHANES, formula = fmla)
4
2
5
1
1
# enter the output in the model specification
mod2 <- lm_imp(formula = fmla, data = NHANES, refcats = ref_mod2,
n.adapt = 0)
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