Retrieves the results of a running or completed experiment. No results are available until there have been 100 events for each variation and at least 10 minutes have passed since the start of the experiment. To increase the statistical power, Evidently performs an additional offline p-value analysis at the end of the experiment. Offline p-value analysis can detect statistical significance in some cases where the anytime p-values used during the experiment do not find statistical significance.
See https://www.paws-r-sdk.com/docs/cloudwatchevidently_get_experiment_results/ for full documentation.
cloudwatchevidently_get_experiment_results(
baseStat = NULL,
endTime = NULL,
experiment,
metricNames,
period = NULL,
project,
reportNames = NULL,
resultStats = NULL,
startTime = NULL,
treatmentNames
)The statistic used to calculate experiment results. Currently the only
valid value is mean, which uses the mean of the collected values as
the statistic.
The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.
[required] The name of the experiment to retrieve the results of.
[required] The names of the experiment metrics that you want to see the results of.
In seconds, the amount of time to aggregate results together.
[required] The name or ARN of the project that contains the experiment that you want to see the results of.
The names of the report types that you want to see. Currently,
BayesianInference is the only valid value.
The statistics that you want to see in the returned results.
PValue specifies to use p-values for the results. A p-value is
used in hypothesis testing to measure how often you are willing to
make a mistake in rejecting the null hypothesis. A general practice
is to reject the null hypothesis and declare that the results are
statistically significant when the p-value is less than 0.05.
ConfidenceInterval specifies a confidence interval for the
results. The confidence interval represents the range of values for
the chosen metric that is likely to contain the true difference
between the baseStat of a variation and the baseline. Evidently
returns the 95% confidence interval.
TreatmentEffect is the difference in the statistic specified by
the baseStat parameter between each variation and the default
variation.
BaseStat returns the statistical values collected for the metric
for each variation. The statistic uses the same statistic specified
in the baseStat parameter. Therefore, if baseStat is mean,
this returns the mean of the values collected for each variation.
The date and time that the experiment started.
[required] The names of the experiment treatments that you want to see the results for.