qat_analyse_boot_distribution_2d: Perform a bootstrapped distribution check

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

View source: R/qat_analyse_boot_distribution_2d.R

Description

The measurement vector will be bootstrapped and statistical parameters will be determined.

Usage

1
qat_analyse_boot_distribution_2d(measurement_vector, bootruns)

Arguments

measurement_vector

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

bootruns

Number of bootstrap runs, which should be performed

Details

The measurement vector will be bottstrapped in direction of the first dimension with the number of runs, which is given by the parameter bootruns. From each runs, some statistical parameters will be calculated and given back in the resultlist.

Value

It returns a list with the following entries:

first_moment

First moments of the bootstrapped measurement vector

second_moment

Second moments of the bootstrapped measurement vector

third_moment

Third moments of the bootstrapped measurement vector

fourth_moment

Fourth moments of the bootstrapped measurement vector

standard_deviation

Standard deviations of the bootstrapped measurement vector

skewness

Skewness of the bootstrapped measurement vector

kurtosis

Kurtosis of the bootstrapped measurement vector

median

Medians of the bootstrapped measurement vector

p5_quantile

5 percent quantiles of the bootstrapped measurement vector

p95_quantile

95 percent quantiles of the bootstrapped measurement vector

p25_quantile

25 percent quantiles of the bootstrapped measurement vector

p75_quantile

75 percent quantiles of the bootstrapped measurement vector

Author(s)

Andre Duesterhus

See Also

qat_analyse_boot_distribution_1d, qat_plot_boot_distribution_1d

Examples

1
2
vec <- array(rnorm(100),c(25,20))
result <- qat_analyse_boot_distribution_2d(vec, 50)

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