detect_time_anomalies: Detect time anomalies

In daqapo: Data Quality Assessment for Process-Oriented Data

Detect time anomalies

Description

Function detecting time anomalies, which can refer to activities with negative or zero duration

Usage

detect_time_anomalies(
  activitylog,
  anomaly_type = c("both", "negative", "zero"),
  details = TRUE,
  filter_condition = NULL
)

Arguments

activitylog	The activity log
anomaly_type	Type of anomalies that need to be detected (either "negative", "zero" or "both")
details	Boolean indicating wheter details of the results need to be shown
filter_condition	Condition that is used to extract a subset of the activity log prior to the application of the function

Value

activitylog containing the rows of the original activity log for which a negative or zero duration is detected, together with the duration value and whether it constitutes a zero or negative duration

Examples

data("hospital_actlog")
detect_time_anomalies(activitylog = hospital_actlog)

daqapo documentation built on July 14, 2022, 9:07 a.m.