qat_measure_histogram_difference: Perform a comparison of two datasets by means of its...

In qat: Quality Assurance Toolkit

Description

This function compares two datasets by calculating their histograms and compares them by a given metric.

Usage

qat_measure_histogram_difference(data1, data2, metric="EMD", breakvector=NULL, 
numofbars=65, factorofbar=100)

Arguments

data1	The first dataset.
data2	The second dataset.
metric	Metric of the comparison. Details see below.
breakvector	Breakvector for the histograms. When not given (NULL), an equidistant breakvector between the minimum and maximum of the two datasets with the given number of bars will be generated.
numofbars	Number of bins of the histogram, when no breakvector is given.
factorofbar	Correction factor for non-value bins.

Details

For both datasets the histograms are computed and compared by means of a given metric. As a metric for the comparison one of the following five options are usable: EMD: Earth Mover's Distance (default); KLD: Kullback-Leibler Distance; JSD: Jenson-Shannon Distance; RMS: Root Mean Square; MS: Mean Square. As a result the distance between the two histograms calculated by the metric is given.

Author(s)

Andre Duesterhus

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_1d, qat_analyse_histogram_test_2d

Examples

vec1 <- array(rnorm(1000), c(100, 20))
vec2 <- vec1 + 1
result <- qat_measure_histogram_difference(vec1, vec2, metric="EMD", numofbars=65)

qat documentation built on May 2, 2019, 4:06 p.m.