Adding and Configuring Statistics Groups

To add a statistics group:

1. In the Performance Tests load test editor, switch to the Statistics page.

   

2. Click one of these toolbar buttons: to add statistics as a graph or to add statistics as a table. The Add Statistic dialog will appear.

   

3. In this dialog, choose what statistics to display and click OK. You can add multiple statistics to the same graph. For the list of available statistics, see Collected Metrics Reference.

   

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   If you run distributed tests, choose The sum of values for all agents to display the statistics for the entire distributed test. If you choose the name of the test agent, ReadyAPI will display the statistics for the test run on the agent.

   To add server monitoring metrics, use the Server Monitors drop-down list.

   Use the Search field to quickly find the needed metric.

4. Sort the selected statistics by clicking the Move Up and Move Down buttons. This action has the following effects:

   • When your statistics overlap in graphs, statistics higher on the list will be shown over those that are lower.

   • Columns in tables are ordered according to the order of statistics on the list.

5. Click OK. The graph or table will be added to the Statistics page.

You can select the data for a different test run from the Run drop-down list. The statistics groups you have added will now display the results of the selected test run.

Editing a statistics group is similar to adding a new one:

• Select the statistics group you want to edit and click on the toolbar.

• In the Configure Statistics List dialog, select the statistics you need. For example, click Remove to delete any statistics you do not need.

By default, each metric added to the graph has an individual scale. This makes metrics with high and low values readable and easy to analyze. You can hide each metric to reduce visual clutter as well.

If you have similar metrics on the graph, they still will have individual scales. This makes analyzing the graph difficult. To compare metrics and read their values on the same scale, enable the Scale the Y-axis equally option. The graph will adjust to the highest visible value, so you can see what value is higher.

When you enable the Scale the Y-axis equally option, the scale of the metric with the highest value is used. Make sure not to compare different metrics on the same scale. If you have very high and very low values, it may be difficult to compare them.

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