qat_analyse_histogram_test_ms_1d

0th

Percentile

Perform a histogram test with the metric MS

This check divides the data into blocks, estimates their probability density functions by histograms and compares them by using the Mean Square.

Keywords
ts
Usage
qat_analyse_histogram_test_ms_1d(measurement_vector, blocksize, numofbars)
Arguments
measurement_vector
The measurement vector, which should be tested
blocksize
Number of elements in the first dimension, which should be used for each block
numofbars
Number of bins of the histogram
Details

The vector will be divided into blocks, with a length given by the parameter blocksize. From these blocks histograms are computed and afterwards compared. As a metric for the comparison the Mean Square is used. As a result a field is generated, which includes the results of the comparison between every combination of blocks.

Value

References

Duesterhus, A., Hense, A. (2012) Advanced Information Criterion for Environmental Data Quality Assurance, \_Advances in Science and Research\_, *8*, 99-104.

See Also

qat_analyse_histogram_test_ms_2d, qat_analyse_histogram_test_kld_1d, qat_analyse_histogram_test_jsd_1d, qat_analyse_histogram_test_rms_1d, qat_analyse_histogram_test_emd_1d

Aliases
  • qat_analyse_histogram_test_ms_1d
Examples
vec <- c(rnorm(1000), rnorm(1000)+2)
result <- qat_analyse_histogram_test_ms_1d(vec, 50, 65)
qat_plot_histogram_test(result$field, "test_ms_1d", result$blocksize, 
result$numofbars, "ms", result$runs)
Documentation reproduced from package qat, version 0.74, License: GPL-2

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