qat_analyse_slide_distribution_2d: Perform a slide distribution check

In qat: Quality Assurance Toolkit

Description

The measurement vector will be scanned stepwise by a sliding window, and on every step some statistical parameters will be calculated.

Usage

qat_analyse_slide_distribution_2d(measurement_vector, blocksize)

Arguments

measurement_vector	The measurement vector (2d array), which should be tested
blocksize	Length of the sliding window

Details

The measurement vector will be scanned stepwise by a sliding window for each element of the second dimension, which got a length of the given parameter blocksize. At every step some statistical parameters will be calculated for the actual window. As a result a list will be given back, with these parameters, where every entry got the same dimension like the measurement vector, where the first dimension is reduced by the blocksize plus one.

Value

It returns a list with the following entries:

first_moment	First moment of the measurement vector
second_moment	Second moment of the measurement vector
third_moment	Third moment of the measurement vector
fourth_moment	Fourth moment of the measurement vector
standard_deviation	Standard deviation of the measurement vector
skewness	Skewness of the measurement vector
kurtosis	Kurtosis of the measurement vector
median	Median of the measurement vector
p5_quantile	5 percent quantile of the measurement vector
p95_quantile	95 percent quantile of the measurement vector
p25_quantile	25 percent quantile of the measurement vector
p75_quantile	75 percent quantile of the measurement vector
blocksize	Length of the used blocks

Author(s)

Andre Duesterhus

See Also

qat_analyse_slide_distribution_1d, qat_plot_slide_distribution_2d

Examples

vec <- array(rnorm(100),c(25,20))
result <- qat_analyse_slide_distribution_2d(vec, 5)

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