qat_analyse_boot_distribution_2d: Perform a bootstrapped distribution check

In qat: Quality Assurance Toolkit

Description

The measurement vector will be bootstrapped and statistical parameters will be determined.

Usage

qat_analyse_boot_distribution_2d(measurement_vector, bootruns)

Arguments

measurement_vector	The measurement vector (2d array), which should be tested
bootruns	Number of bootstrap runs, which should be performed

Details

The measurement vector will be bottstrapped in direction of the first dimension with the number of runs, which is given by the parameter bootruns. From each runs, some statistical parameters will be calculated and given back in the resultlist.

Value

It returns a list with the following entries:

first_moment	First moments of the bootstrapped measurement vector
second_moment	Second moments of the bootstrapped measurement vector
third_moment	Third moments of the bootstrapped measurement vector
fourth_moment	Fourth moments of the bootstrapped measurement vector
standard_deviation	Standard deviations of the bootstrapped measurement vector
skewness	Skewness of the bootstrapped measurement vector
kurtosis	Kurtosis of the bootstrapped measurement vector
median	Medians of the bootstrapped measurement vector
p5_quantile	5 percent quantiles of the bootstrapped measurement vector
p95_quantile	95 percent quantiles of the bootstrapped measurement vector
p25_quantile	25 percent quantiles of the bootstrapped measurement vector
p75_quantile	75 percent quantiles of the bootstrapped measurement vector

Author(s)

Andre Duesterhus

See Also

qat_analyse_boot_distribution_1d, qat_plot_boot_distribution_1d

Examples

vec <- array(rnorm(100),c(25,20))
result <- qat_analyse_boot_distribution_2d(vec, 50)

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