View source: R/anomaly_report.R
aw_anomaly_report | R Documentation |
Get an anomaly report for one or more metrics
aw_anomaly_report(
company_id = Sys.getenv("AW_COMPANY_ID"),
rsid = Sys.getenv("AW_REPORTSUITE_ID"),
date_range = c(Sys.Date() - 31, Sys.Date() - 1),
metrics,
granularity = "day",
segmentId = NA,
quickView = FALSE,
anomalyDetection = TRUE,
countRepeatInstances = TRUE,
debug = FALSE
)
company_id |
Company Id. Taken from the global environment by default if not provided. |
rsid |
Adobe report number |
date_range |
A two length vector of start and end Date objects (default set to show last 30 days) |
metrics |
Metric to request the anomaly detection. If multiple metrics, each metric and date will have it's own row. |
granularity |
Use either hour, day (default), week, or month |
segmentId |
Use segments to globally filter the results. Use 1 or many. |
quickView |
Return a list of 3 lists per metric. 1. All Data 2. Data filtered to include only anomalous rows 3. Interactive ggplot line graph |
anomalyDetection |
logical statement for including anomaly. Default is TRUE |
countRepeatInstances |
Should the data include repeat instances |
debug |
default is FALSE but set to TRUE to see the json request being sent to the Adobe API |
If quickView = 'FALSE' (default) then a data frame including the day, metric, data, dataExpected, dataUpperBound, dataLowerBound, and dataAnomalyDetected will be returned. If quickView = 'TRUE' then a list of three lists will be returned. The first list will be a data frame including all the default columns. The second list item will be a filtered data frame that includes rows where dataAnomalyDetected = 'TRUE'. The third list item is a visual made using 'ggplot2' with the error band and points where the dataAnomalyDetected = 'TRUE'. If more than one metric is in the request and quickView is set to TRUE then the lists will be split by each metric requested.
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