qat_analyse_block_distribution_1d: Perform a block distribution check

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

View source: R/qat_analyse_block_distribution_1d.R

Description

The measurement vector will be splitted into blocks, and on every block some statistical parameters will be calculated.

Usage

1
qat_analyse_block_distribution_1d(measurement_vector, blocksize)

Arguments

measurement_vector

The measurement vector, which should be tested

blocksize

Length of the blocks

Details

The measurement vector will be splitted into blocks, with the length of the given blocksize parameter. After this some statistical parameters will be calculated for every block. 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 divided by the blocksize, which is rounded down to the next integer.

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_block_distribution_1d

Examples

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vec <- rnorm(1000)
result <- qat_analyse_block_distribution_1d(vec, 50)

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