select_data: Select variables and apply filters

In STAPM/hseclean: Health Survey Data Wrangling

Select variables and apply filters

Description

Selects the variables required for analysis and selects only the rows without missing data for specified variables.

Usage

select_data(
  data,
  ages = 8:89,
  years = 2001:2018,
  keep_vars = c("age", "sex", "imd_quintile"),
  complete_vars = c("age", "sex", "imd_quintile")
)

Arguments

data	Data table - the Health Survey for England dataset.
ages	Integer vector - the ages in single years to retain (defaults to 8 to 89 years).
years	Integer vector - the years in single years to retain.
keep_vars	Character vector - the names of the variables to keep.
complete_vars	Character vector - the names of the variables on which the selection of complete cases will be based.

Value

Returns a reduced version of data

Examples

## Not run: 

data <- select_data(data, keep_vars = c("age", "sex", "imd_quintile", "cig_smoker_status"))


## End(Not run)

STAPM/hseclean documentation built on June 9, 2025, 4:50 a.m.