summary.cmpoutput: Summary method for comparison of an output

In fakenmc/micompr: Multivariate Independent Comparison of Observations

Summary method for comparison of an output

Description

Summary method for objects of class cmpoutput.

Usage

## S3 method for class 'cmpoutput'
summary(object, ...)

Arguments

object	Object of class cmpoutput.
...	Currently ignored.

Value

A list with the following components:

output.name

Output name.

num.pcs

Number of principal components which explain var.exp percentage of variance.

var.exp

Minimum percentage of variance which must be explained by the number of principal components used for the MANOVA test.

manova.pvals

P-value of the MANOVA test.

parametric.test

Name of the used parametric test.

parametric.pvals

Vector of $p$-values returned by applying the parametric test to each principal component.

parametric.pvals.adjusted

Vector of $p$-values returned by applying the parametric test to each principal component, adjusted with the weighted Bonferroni procedure, percentage of explained variance used as weight.

nonparametric.test

Name of the used non-parametric test.

nonparametric.pvals

Vector of $p$-values returned by applying the non-parametric test to each principal component.

nonparametric.pvals.adjusted

Vector of $p$-values returned by applying the non-parametric test to each principal component, adjusted with the weighted Bonferroni procedure, percentage of explained variance used as weight.

Examples

# Comparing the concatenated output of the pphpc_noshuff dataset, which
# contains simulation output data from two implementations of the PPHPC model
# executed with a minor implementation difference.

summary(
  cmpoutput("All", 0.6, pphpc_noshuff$data[["All"]], pphpc_noshuff$obs_lvls)
)

fakenmc/micompr documentation built on Aug. 6, 2024, 8:29 p.m.