Check Variable Names — check_variables • metatools

This function checks the variables in the dataset against the variables defined in the metacore specifications. If everything matches the function will print a message stating everything is as expected. If there are additional or missing variables an error will explain the discrepancies

check_variables(data, metacore, dataset_name = NULL)

Arguments

data: Dataset to check
metacore: metacore object that only contains the specifications for the dataset of interest.
dataset_name: Optional string to specify the dataset. This is only needed if the metacore object provided hasn't already been subsetted.

Value

message if the dataset matches the specification and the dataset, and error otherwise

Examples

library(haven)
library(metacore)
library(magrittr)
load(metacore_example("pilot_ADaM.rda"))
spec <- metacore %>% select_dataset("ADSL")
#> Warning: `core` from the `ds_vars` table only contains missing values.
#> Warning: `supp_flag` from the `ds_vars` table only contains missing values.
#> Warning: `common` from the `var_spec` table only contains missing values.
#> Warning: `where` from the `value_spec` table only contains missing values.
#> Warning: `dataset` from the `supp` table only contains missing values.
#> Warning: `variable` from the `supp` table only contains missing values.
#> Warning: `idvar` from the `supp` table only contains missing values.
#> Warning: `qeval` from the `supp` table only contains missing values.
#> ✔ ADSL dataset successfully selected
#> 
data <- read_xpt(metatools_example("adsl.xpt"))
check_variables(data, spec)
#> Error in check_variables(data, spec): The following variables are missing:
#> AGEGR2
#> AGEGR2N