# qat_analyse_histogram_test_ms_1d

From qat v0.74
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.

##### References

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

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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