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