sampleSummary
Class: matlab.unittest.measurement.MeasurementResult
Namespace: matlab.unittest.measurement
Create table of summary statistics from MeasurementResult
array
Syntax
T = sampleSummary(R)
Description
Input Arguments
Results array from running a measurement experiment on a test
suite, specified as a MeasurementResult
array.
Output Arguments
Measurement sample summary, returned as a table. The table contains
the following columns: Name
, SampleSize
, Mean
, StandardDeviation
, Min
, Median
,
and Max
.
Examples
In your current working folder, create a class-based test, preallocationTest.m
, that compares different methods of preallocation.
classdef preallocationTest < matlab.perftest.TestCase methods(Test) function testOnes(testCase) x = ones(1,1e7); end function testIndexingWithVariable(testCase) id = 1:1e7; x(id) = 1; end function testIndexingOnLHS(testCase) x(1:1e7) = 1; end function testForLoop(testCase) for i=1:1e7 x(i) = 1; end end end end
Create a test suite.
suite = testsuite('preallocationTest');
Construct a time experiment with a variable number of sample measurements, and run the tests.
import matlab.perftest.TimeExperiment
experiment = TimeExperiment.limitingSamplingError;
R = run(experiment,suite);
Running preallocationTest .......... .......... .......... .......... .......... ..... Done preallocationTest __________
Create a table of summary statistics from the result array R
.
T = sampleSummary(R)
T = 4×7 table array Name SampleSize Mean StandardDeviation Min Median Max __________________________________________ __________ ________ _________________ ________ ________ ________ preallocationTest/testOnes 4 0.02649 0.00086703 0.025583 0.026426 0.027526 preallocationTest/testIndexingWithVariable 16 0.13356 0.014525 0.11803 0.12716 0.15946 preallocationTest/testIndexingOnLHS 13 0.073571 0.0073962 0.065024 0.073216 0.086889 preallocationTest/testForLoop 6 0.74768 0.03897 0.69934 0.75511 0.79957
Version History
Introduced in R2017a
See Also
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