qat_analyse_slide_distribution_1d: 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_1d(measurement_vector, blocksize)

Arguments

measurement_vector	The measurement vector, which should be tested
blocksize	Length of the sliding window

Details

The measurement vector will be scanned stepwise by a sliding window, 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 a length of the length of the measurement vector minus 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_plot_slide_distribution_1d

Examples

vec <- rnorm(100)
result <- qat_analyse_slide_distribution_1d(vec, 10)

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