internal function to calculate ratios estimations

Usage

create_ratio_internal(
  var,
  denominator,
  domains = NULL,
  subpop = NULL,
  disenio,
  ci = FALSE,
  deff = FALSE,
  ess = FALSE,
  ajuste_ene = FALSE,
  unweighted = FALSE,
  rel_error = FALSE,
  log_cv = FALSE,
  rm.na = FALSE
)

Arguments

var: numeric variable within the dataframe, is the numerator of the ratio to be calculated.
denominator: numeric variable within the dataframe, is the denominator of the ratio to be calculated.
domains: domains to be estimated separated by the + character.
subpop: integer dummy variable to filter the dataframe
disenio: complex design created by survey package
ci: boolean indicating if the confidence intervals must be calculated
deff: boolean Design effect
ess: boolean Effective sample size
ajuste_ene: boolean indicating if an adjustment for the sampling-frame transition period must be used
unweighted: boolean Add non weighted count if it is required
rel_error: boolean Relative error
log_cv: boolean indicating if the log cv must be returned. Used for ratios between 0 and 1.
rm.na: boolean indicating if NA values must be removed

Value

dataframe that contains the inputs and all domains to be evaluated