check_ct_data: Check Control Terminology for a Dataset

In metatools: Enable the Use of 'metacore' to Help Create and Check Dataset

Check Control Terminology for a Dataset

Description

This function checks that all columns in the dataset only contains the control terminology as defined by the metacore specification

Usage

check_ct_data(data, metacore, na_acceptable = NULL, omit_vars = NULL)

Arguments

data	Dataset to check
metacore	metacore object that contains the specifications for the dataset of interest. If any variable has different codelists for different datasets the metacore object will need to be subsetted using 'select_dataset' from the metacore package.
na_acceptable	'logical' value or 'character' vector, set to 'NULL' by default. 'NULL' sets the acceptability of missing values based on if the core for the variable is "Required" in the 'metacore' object. If set to 'TRUE' then will pass check if values are in the control terminology or are missing. If set to 'FALSE' then NA will not be acceptable. If set to a 'character' vector then only the specified variables may contain NA values.
omit_vars	'character' vector indicating which variables should be skipped when doing the controlled terminology checks. Internally, 'omit_vars' is evaluated before 'na_acceptable'.

Value

Given data if all columns pass. It will error otherwise

Examples

library(haven)
library(metacore)
library(magrittr)
load(metacore_example("pilot_ADaM.rda"))
spec <- metacore %>% select_dataset("ADSL")
data <- read_xpt(metatools_example("adsl.xpt"))

check_ct_data(data, spec)
## Not run: 
# These examples produce errors:
check_ct_data(data, spec, na_acceptable = FALSE)
check_ct_data(data, spec, na_acceptable = FALSE, omit_vars = "DISCONFL")
check_ct_data(data, spec, na_acceptable = c("DSRAEFL", "DCSREAS"), omit_vars = "DISCONFL")

## End(Not run)

metatools documentation built on Sept. 11, 2024, 6:12 p.m.