This function check that all interviews in the dataset have information about the consent of the people surveyed, meaning all the field where this information is stored is not empty. There is an option to automatically mark for deletion the surveys which have not consent information.

isInterviewWithConsent(
  ds = NULL,
  surveyConsent = NULL,
  reportingColumns = c(enumeratorID, uniqueID),
  deleteIsInterviewWithConsent = FALSE
)

Arguments

ds

dataset containing the survey (from kobo): data.frame

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',...))

deleteIsInterviewWithConsent

(Optional, by default set as FALSE) if TRUE, the survey in error will be marked as 'deletedIsInterviewWithConsent': boolean (TRUE/FALSE)

uniqueID

name of the field where the survey unique ID is stored: string

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 surveyConsent <- "survey_consent" uniqueID <- "X_uuid" enumeratorID <- "enumerator_id" reportingColumns <- c(enumeratorID, uniqueID) list[dst,ret_log,var,graph] <- isInterviewWithConsent(ds=ds, surveyConsent=surveyConsent, reportingColumns=reportingColumns, deleteIsInterviewWithConsent=FALSE) head(ret_log,10) print(graph) }