RbNb.pvalues: p-values for testing whether the bivariate Rb/Nb distribution...

RbNb.pvaluesR Documentation

p-values for testing whether the bivariate Rb/Nb distribution is Gaussian at two Jemez sources.

Description

A data set containing p-values from univariate and bivariate tests. The labels for the rows are the codes for the Jemez sources.

Usage

RbNb.pvalues

Format

A matrix with 2 rows and 6 variables:

AD.Rb

A vector with results from the Anderson-Darling test for a Rb having a univariate Gaussian distribution.

AD.Nb

A vector with results from the Anderson-Darling test for a Nb having a univariate Gaussian distribution.

SW.Rb

A vector with results from the Shapiro-Wilk test for a Rb having a univariate Gaussian distribution.

SW.Nb

A vector with results from the Shapiro-Wilk test for a Nb having a univariate Gaussian distribution.

Marida.skew

A vector with results from the Mardia test for a bivariate Gaussian distribution based on skewness.

Marida.kurtosis

A vector with results from the Mardia test for a bivariate Gaussian distribution based on kurtosis.

Source

The matrix was output from the function ps_2dPlotGauss().


benmarwick/karon documentation built on July 29, 2023, 10:11 a.m.