assessmentDurationOutliers: Report the outlier durations for the surveys
In PYannick/HighFrequencyChecks: High Frequency Checks

Description Usage Arguments Value Author(s) Examples

This function report the outlier durations for the surveys

assessmentDurationOutliers(
  ds = NULL,
  dates = NULL,
  sdval = 2,
  reportingColumns = c(enumeratorID, uniqueID)
)

`ds`	dataset containing the survey (from kobo): data.frame
`dates`	name of the fields where the information about the start and end date of the survey is stored: list of string (c('start_date','end_date'))
`sdval`	(Optional, by default set to 2) number of standard deviation for which the data within is considered as acceptable: integer
`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',...))
`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

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
dates <- c("survey_start","end_survey")
uniqueID <- "X_uuid"
enumeratorID <- "enumerator_id"
reportingColumns <- c(enumeratorID, uniqueID)
sdval<-2

list[dst,ret_log,var,graph] <- assessmentDurationOutliers(ds=ds,
                                                          dates=dates,
                                                          sdval=sdval,
                                                          reportingColumns=reportingColumns)
head(ret_log,10)
print(graph)
}