pns_design {PNSIBGE}

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, curlopts=list(), 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)