Perform a trimmed distribution check

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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

1

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

1
2
vec <- array(rnorm(100),c(25,20))
result <- qat_analyse_trimmed_distribution_2d(vec)

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