Reports benchmarks of the QT method based on qtb_analyze raw output.
report = qtb_report(result, tcode)
returns the report based on qtb_analyze raw output result for a specific test codename tcodereport = qtb_report( ___ ,Name,Value)
specifies additional arguments using one or more Name-Value pairs
Data types: char | structure array
Path to analysis result file or the result structure array.
Data type: char
The codename of the test to report.
Data type: double
The percentile value for QT method benchmarks estimation.
Default: 95
Data type: double
An array of error rates to estimate QT methods benchmarks.
Default: [1e-1, 1e-2, 1e-3, 1e-4]
Data type: logical
Make the plots of QT methods resources vs sample size.
Default: false
Data type: char
Path to file to export the report as a table. Available formats: *xls, *xlsx, *csv.
Default: 'none'
Data type: structure array
Function output report
is a structure array containing report data:
report.name
- QT method namereport.dim
- dimension array of the analysis resultsreport.tcode
- test codenamereport.tname
- test namereport.percentile
- percentile specified for benchmarks estimationreport.error_rates
- error rates specified for benchmarks estimationreport.fields
- cell array of benchmarks names (see benchmarks page)report.data
- array of benchmarks values: each row contains benchmark values for a given error ratereport.table
- table array of benchmarks valuesreport.figure
- figure object (if plot is set totrue
)