Missing unique ID

This function check that all interviews in the dataset have an ID. There is an option to automatically mark for deletion the surveys which have not an ID.

isUniqueIDMissing(
  ds = NULL,
  uniqueID = NULL,
  surveyConsent = NULL,
  reportingColumns = c(enumeratorID, uniqueID),
  deleteIsUniqueIDMissing = FALSE
)

Arguments

ds	dataset containing the survey (from kobo): data.frame
uniqueID	name of the field where the survey unique ID is stored: string
surveyConsent	name of the field in the dataset where the survey consent is stored: string
reportingColumns	(Optional, by default it is built from the enumeratorID and the UniqueID) name of the columns from the dataset you want in the result: list of string (c('col1','col2',...))
deleteIsUniqueIDMissing	(Optional, by default set as FALSE) if TRUE, the survey in error will be marked as 'deletedIsUniqueIDMissing': boolean (TRUE/FALSE)
enumeratorID	name of the field where the enumerator ID is stored: string

Value

dst same dataset as the inputed one but with survey marked for deletion if errors are found and delete=TRUE (or NULL)

ret_log list of the errors found (or NULL)

var a list of value (or NULL)

graph graphical representation of the results (or NULL)

Author

Yannick Pascaud

Examples

{
ds <- HighFrequencyChecks::sample_dataset
uniqueID <- "X_uuid"
surveyConsent <- "survey_consent"
enumeratorID <- "enumerator_id"
reportingColumns <- c(enumeratorID, uniqueID)

list[dst,ret_log,var,graph] <- isUniqueIDMissing(ds=ds,
                                                 uniqueID=uniqueID,
                                                 surveyConsent=surveyConsent,
                                                 reportingColumns=reportingColumns,
                                                 deleteIsUniqueIDMissing=FALSE)
head(ret_log, 10)
}
#>     enumerator_id X_uuid survey_consent
#> 113            42                   yes
#> 194            46                   yes