missing_value_check {dbGaPCheckup} | R Documentation |
Missing Value Check
Description
This function flags variables that have non-encoded missing value codes.
Usage
missing_value_check(
DD.dict,
DS.data,
verbose = TRUE,
non.NA.missing.codes = NA
)
Arguments
DD.dict |
Data dictionary. |
DS.data |
Data set. |
verbose |
When TRUE, the function prints the Message out, as well as a list of variables that have non-encoded missing values. |
non.NA.missing.codes |
A user-defined vector of numerical missing value codes (e.g., -9999). |
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 (A list of variables where a missing value code is not properly encoded).
Examples
data(ExampleB)
missing_value_check(DD.dict.B, DS.data.B, non.NA.missing.codes = c(-9999,-4444))
data(ExampleS)
missing_value_check(DD.dict.S, DS.data.S, non.NA.missing.codes = c(-9999,-4444))
[Package dbGaPCheckup version 1.1.0 Index]