assessmentDurationOutliers.Rd
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 |
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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) }