qat_analyse_distribution_1d: Perform a distribution check

In qat: Quality Assurance Toolkit

Description

This check makes a histogram and gives back some statistical parameters of the given measurement vector.

Usage

qat_analyse_distribution_1d(measurement_vector, numofbars)

Arguments

measurement_vector	The measurement vector, which should be tested
numofbars	Numbers of bars of the histogram plot

Details

From a given measurement vector a histogram will be performed. The number of bars of this will be given by the parameter numofbars. Additionally some statistical parameters, like the first moments and some quantiles will be calculated.

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
numofbars	Number of bars of the histogram
...	Elements of the histogram

Author(s)

Andre Duesterhus

See Also

qat_plot_distribution_1d

Examples

vec <- rnorm(1000)
result <- qat_analyse_distribution_1d(vec, 15)

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