internal function to calculate proportion estimations
create_prop_internal(
var,
domains = NULL,
subpop = NULL,
disenio,
ci = FALSE,
deff = FALSE,
ess = FALSE,
ajuste_ene = FALSE,
rel_error = FALSE,
log_cv = FALSE,
unweighted = FALSE,
standard_eval = TRUE,
rm.na = FALSE,
env = parent.frame(),
ci_logit = FALSE
)
dataframe
that contains the inputs and all domains to be evaluated
integer dummy variable within the dataframe
domains to be estimated separated by the + character.
integer dummy variable to filter the dataframe
complex design created by survey
package
boolean
indicating if the confidence intervals must be calculated
boolean
Design effect
boolean
Effective sample size
boolean
indicating if an adjustment for the sampling-frame transition period must be used
boolean
Relative error
boolean
indicating if the log cv must be returned
boolean
Add non weighted count if it is required
boolean
indicating if the function is inside another function, by default it is TRUE, avoid problems with lazy eval.
boolean
indicating if NA values must be removed
parent environment to get some variables
boolean
indicating if interval confidence is logit