This function creates the simple rule of a segment.
seg_rule(
dimension = NULL,
metric = NULL,
verb = NULL,
object = NULL,
description = NULL,
is_distinct = FALSE,
attribution = "repeating",
attribution_context = "visitors",
validate = FALSE,
rsid = Sys.getenv("AW_REPORTSUITE_ID"),
company_id = Sys.getenv("AW_COMPANY_ID")
)
This is the subject of the rule. The value should be the dimension id. Only the dimension or metric can be used at a time.
This is the subject of the rule. The value should be the metric id. Only the dimension or metric can be used at a time.
Choose from any of the 30 different verbs. Use the seg_verbs
package data to see all available verbs along with the descriptions.
This is the object of the rule and answers the question what
or how many
The internal description for the rule. (optional) This will not show in the UI but could be very helpful when using the API.
This will segment on a distinct count of items within a dimension. Examples: “Visitors who viewed more than 5 distinct products,” or “Visits where more than 5 distinct pages were seen.”
Define the type of attribution. Either repeating
(default),
instance
, or nonrepeating
. See Details for more information.
When applying a non-repeating instance attribution
model to a rule the context for the attribution must be visitors
(default) or visits
Set to TRUE when metric or dimension validation is preferred. Default is FALSE. Validation will slow down the function response time but ensure a valid rule result.
Adobe report suite ID (RSID). If an environment variable called
AW_REPORTSUITE_ID
exists in .Renviron
or elsewhere and no rsid
argument
is provided, then the AW_REPORTSUITE_ID
value will be used. Use aw_get_reportsuites()
to get a list of available rsid
values.
Company ID. If an environment variable called AW_COMPANY_ID
exists in .Renviron
or elsewhere and no company_id
argument is provided,
then the AW_COMPANY_ID
value will be used. Use get_me()
to get a list of
available company_id
values.
A structured list defining the rule for a segment
Attribution Models Available for dimensions only, these models determine what values in a dimension to segment for. Dimension models are particularly useful in sequential segmentation.
repeating (default): Includes instances and persisted values for the dimension.
instance: Includes instances for the dimension.
nonrepeating instance: Includes unique instances (non-repeating) for the dimension. This is the model applied in Flow when repeat instances are excluded.