pns_design: Create PNS survey object with its sample design

In PNSIBGE: Downloading, Reading and Analyzing PNS Microdata

Create PNS survey object with its sample design

Description

This function creates PNS survey object with its sample design for analysis using survey package functions.

Usage

pns_design(data_pns)

Arguments

data_pns

A tibble of PNS microdata read with read_pns function.

Value

An object of class survey.design or svyrep.design with the data from PNS and its sample design.

Note

For more information, visit the survey official website <https://www.ibge.gov.br/estatisticas/sociais/saude/9160-pesquisa-nacional-de-saude.html?=&t=o-que-e> and consult the other functions of this package, described below.

See Also

get_pns for downloading, labeling, deflating and creating survey design object for PNS microdata.
read_pns for reading PNS microdata.
pns_labeller for labeling categorical variables from PNS microdata.
pns_deflator for adding deflator variables to PNS microdata.
pns_example for getting the path of the PNS toy example files.

Examples

# Using data read from disk
input_path <- pns_example(path="input_example.txt")
data_path <- pns_example(path="exampledata.txt")
dictionary.path <- pns_example(path="dictionaryexample.xls")
deflator.path <- pns_example(path="deflatorexample.xls")
pns.df <- read_pns(microdata=data_path, input_txt=input_path, vars=c("J007","J009"))
pns.df <- pns_labeller(data_pns=pns.df, dictionary.file=dictionary.path)
pns.df <- pns_deflator(data_pns=pns.df, deflator.file=deflator.path)

pns.svy <- pns_design(data_pns=pns.df)
# Calculating proportion of people diagnosed with chronic diseases
if (!is.null(pns.svy)) survey::svymean(x=~J007, design=pns.svy, na.rm=TRUE)

# Downloading data
pns.df2 <- get_pns(year=2019, selected=FALSE, anthropometry=FALSE, vars=c("J007","J009"),
                       labels=TRUE, deflator=TRUE, design=FALSE, reload=TRUE, savedir=tempdir())
pns.svy2 <- pns_design(data_pns=pns.df2)
# Calculating proportion of people diagnosed with chronic diseases
if (!is.null(pns.svy2)) survey::svymean(x=~J007, design=pns.svy2, na.rm=TRUE)

PNSIBGE documentation built on Nov. 19, 2023, 1:08 a.m.