qat_analyse_slide_distribution_2d: Perform a slide distribution check

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

View source: R/qat_analyse_slide_distribution_2d.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_2d(measurement_vector, blocksize)

Arguments

measurement_vector

The measurement vector (2d array), which should be tested

blocksize

Length of the sliding window

Details

The measurement vector will be scanned stepwise by a sliding window for each element of the second dimension, 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 the same dimension like the measurement vector, where the first dimension is reduced by 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_analyse_slide_distribution_1d, qat_plot_slide_distribution_2d

Examples

1
2
vec <- array(rnorm(100),c(25,20))
result <- qat_analyse_slide_distribution_2d(vec, 5)

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