test_metric: Construct a dataframe containing the ab test id and the...
In vkobayashi/IncrementalityTEST: Bayesian and Bootstrap Hypothesis Testing on a sample of incrementality tests
Description
Usage
Arguments
Value
View source: R/select_metric.R
Description
This function caculates the differences of the specified metrics (e.g. RPU, AOV, etc.).
Usage
1
test_metric(mydata, metric)
Arguments
mydata
A dataframe containg the variables "iabtest_id", "abt_group", and the metric of choice.
metric
Chosen metric e.g. RPU, AOV, TPB, and BR
Value
Dataframe contaning the differences of the specified metrics for the control and test across all ab tests
vkobayashi/IncrementalityTEST documentation built on May 3, 2019, 6:15 p.m.
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Description Usage Arguments Value
View source: R/select_metric.R
Description
This function caculates the differences of the specified metrics (e.g. RPU, AOV, etc.).
Usage
1 | test_metric(mydata, metric)
|
Arguments
mydata |
A dataframe containg the variables "iabtest_id", "abt_group", and the metric of choice. |
metric |
Chosen metric e.g. RPU, AOV, TPB, and BR |
Value
Dataframe contaning the differences of the specified metrics for the control and test across all ab tests
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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