NA_check {dbGaPCheckup}

Missing Value (NA) Check

Description

Checks for NA values in the data set; if NA values are present, also performs check for NA value=meaning.

Usage

NA_check(DD.dict, DS.data, verbose = TRUE)

Arguments

DD.dict

Data dictionary.

DS.data

Data set.

verbose

When TRUE, the function prints the Message out, as well as the number of NA values observed in the data set.

Value

Tibble, returned invisibly, containing: (1) Time (Time stamp); (2) Name (Name of the function); (3) Status (Passed/Failed); (4) Message (A copy of the message the function printed out); (5) Information (the number of NA values in the data set and information on if NA is a properly encoded value).

Examples

# Example 1: Fail check
data(ExampleK)
NA_check(DD.dict.K, DS.data.K)
print(NA_check(DD.dict.K, DS.data.K, verbose=FALSE))

# Example 2: Pass check
data(ExampleA)
NA_check(DD.dict.A, DS.data.A)
print(NA_check(DD.dict.A, DS.data.A, verbose=FALSE))

# Example 3: Pass check (though missing_value_check detects a more specific error)
data(ExampleS)
NA_check(DD.dict.S, DS.data.S)