Description Usage Arguments Value See Also Examples
Query Optimizely to obtain information on project entities
A user list is a set of user identifiers that you have uploaded to Optimizely. Membership in a targeting list can be used to define an Optimizely audience, so you can target experiments only to a particular set of users.
An Audience is a group of visitors that match set conditions. You can target an experiment to one or more audiences, or you can segment experiment results to see how different audiences performed.
A user list is a set of user identifiers that you have uploaded to Optimizely. Membership in a targeting list can be used to define an Optimizely audience
Dimensions are attributes of visitors to your website or mobile app, such as demographic data, behavioral characteristics, or any other information particular to a visitor. Dimensions can be used to construct audiences and segment experiment results.
Every experiment contains a set of variations that each change the visitor's experience in a different way. Variations define the code that should be applied on a page to change the experience, and the percentage of visitors who should see that code. A standard 'A/B' test has two variations (including the original), and Optimizely supports adding many more variations.
1 | GetParamInfo(id, param)
|
id |
Identifier for project entity i.e. goal id, audience id, user list id, dimension id |
param |
alphabet character to identify the parameter list
|
data frame - of goals/audiences/targeting lists/dimensions in a project
1 2 3 4 5 6 7 8 9 10 | ## Not run:
# Information for an dimension
# Use set_token to assign account token
set_token('123456789101112:zzzzz')
# Lists all audiences in a project
final.df<-GetParamInfo('1234567',param='A')
# Lists goals in a project (default)
final.df<-GetParamInfo('1234567')
## End(Not run)
|
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