qat_analyse_trimmed_distribution_2d: Perform a trimmed distribution check

In qat: Quality Assurance Toolkit

Description

The measurement vector (2d array) will be handled separately for every element in the direction of the second dimension. Each vector will be trimmed stepwise at each side and at every step some statistical parameters will be calculated.

Usage

qat_analyse_trimmed_distribution_2d(measurement_vector)

Arguments

measurement_vector

The measurement vector, which should be tested

Details

The measurement vector will be trimmed, in direction of the first dimension, at each side stepwise, with a step of 1 percent. At each step some statistical parameters will be calculated. As a result a list will be given back, with these parameters, where every entry got the first dimension of 50 and as the second the second dimension of the measurement vector.

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

Author(s)

Andre Duesterhus

See Also

qat_analyse_trimmed_distribution_1d, qat_plot_trimmed_distribution_2d

Examples

vec <- array(rnorm(100),c(25,20))
result <- qat_analyse_trimmed_distribution_2d(vec)

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