qat_analyse_slide_distribution_1d: Perform a slide distribution check

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/qat_analyse_slide_distribution_1d.R

Description

The measurement vector will be scanned stepwise by a sliding window, and on every step some statistical parameters will be calculated.

Usage

1
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

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

qat documentation built on May 30, 2017, 8:27 a.m.