isUniqueIDDuplicated.Rd
This function check that all interviews in the dataset have an ID which is unique. There is an option to automatically mark for deletion the surveys which have a duplicated unique ID.
isUniqueIDDuplicated( ds = NULL, uniqueID = NULL, surveyConsent = NULL, reportingColumns = c(enumeratorID, uniqueID), deleteIsUniqueIDDuplicated = FALSE )
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',...)) |
deleteIsUniqueIDDuplicated | (Optional, by default set as FALSE) if TRUE, the survey in error will be marked as 'deletedIsUniqueIDDuplicated': boolean (TRUE/FALSE) |
enumeratorID | name of the field where the enumerator ID is stored: string |
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)
Yannick Pascaud
{ ds <- HighFrequencyChecks::sample_dataset uniqueID <- "X_uuid" surveyConsent <- "survey_consent" enumeratorID <- "enumerator_id" reportingColumns <- c(enumeratorID, uniqueID) list[dst,ret_log,var,graph] <- isUniqueIDDuplicated(ds=ds, uniqueID=uniqueID, surveyConsent=surveyConsent, reportingColumns=reportingColumns, deleteIsUniqueIDDuplicated=FALSE) head(ret_log, 10) }#> enumerator_id X_uuid survey_consent #> 194 46 yes