evaluate_prop: Evaluate the quality of ratio estimations

In Klauslehmann/calidad: Evalúa la calidad de las estimaciones hechas por encuestas de hogares

Description

evaluate_prop evaluates the quality ratio estimations using the methodology created by INE Chile, which considers sample size, degrees of freedom, standard error and the coefficient of variation.

Usage

evaluate_prop(tabulado, condicion = NULL, publicar = FALSE)

Arguments

tabulado	dataframe created by create_ratio
condicion	character with the complete condition to filter the dataframe
publicar	boolean indicating if the evaluation of the complete table must be added to the output. If it is TRUE, the function adds a new column to the dataframe

Details

It is evaluated according to the standard error or the coefficient of variation, based on the value of the estimation that its receives as inputs. For estimations < 1 evaluates by standar error & for estimations > 1 evaluates by coefficient of variation. Evaluates each estimation per row independently

Value

dataframe with all the columns included in the input table, plus a new column containing a label indicating the evaluation of each estimation: reliable, bit reliable or unreliable

Examples

library(survey)
library(dplyr)
epf <-   mutate(epf_personas, gasto_zona1 = dplyr::if_else(zona == 1, gastot_hd, 0)) %>%
group_by(folio) %>%
slice(1)
dc <- svydesign(ids = ~varunit, strata = ~varstrat, data = epf, weights = ~fe)
evaluate_prop(create_prop(var = gasto_zona1, denominador = gastot_hd, dominios = zona+sexo, disenio = dc))

Klauslehmann/calidad documentation built on May 1, 2021, 6:35 a.m.