summary.cmpoutput {micompr} | R Documentation |
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 |
... |
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)
)