statistics

Statistics of past execution periods

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Syntax

stats = statistics(rate)

Description

stats = statistics(rate) returns statistics of previous periods of code execution. stats is a struct with these fields: Periods, NumPeriods, AveragePeriod, StandardDeviation, and NumOverruns.

example

Here is a sample execution graphic using the default setting, 'slip', for the OverrunAction property in the Rate object. See OverrunAction for more information on overrun code execution.

The output of statistics is:

stats = 

              Periods: [0.7 0.11 0.7 0.11]
           NumPeriods: 4
        AveragePeriod: 0.09
    StandardDeviation: 0.0231
          NumOverruns: 2

Input Arguments

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Rate object, specified as an object handle. This object contains the information for the DesiredRate and other info about the execution. See rateControl for more information.

Output Arguments

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Time execution statistics, returned as a structure. This structure contains the following fields:

  • Period — All time periods (returned in seconds) used to calculate statistics as an indexed array. stats.Period(end) is the most recent period.

  • NumPeriods — Number of elements in Periods

  • AveragePeriod — Average time in seconds

  • StandardDeviation — Standard deviation of all periods in seconds, centered around the mean stored in AveragePeriod

  • NumOverruns — Number of periods with overrun

Examples

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Open Live Script

Create a rateControl object for running at 20 Hz.

r = rateControl(20);

Start a loop and control operation using the rateControl object.

for i = 1:30
    % Your code goes here
    waitfor(r);
end

Get Rate object statistics after loop operation.

stats = statistics(r)
stats = struct with fields:
              Periods: [0.0528 0.0481 0.0509 0.0490 0.0532 0.0461 0.0499 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500 0.0500]
           NumPeriods: 30
        AveragePeriod: 0.0500
    StandardDeviation: 0.0012
          NumOverruns: 0

Version History

Introduced in R2016a

See Also

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