perm.plot: Plot partial p-values
In fdcov: Analysis of Covariance Operators

Description Usage Arguments Value Author(s) References Examples

View source: R/ksamp_perm_plot.R

perm.plot plots all of the partial comparison p-values in a matrix.

1	perm.plot(p, k, lab = NULL, save = FALSE, name = "pvalues.eps")

`p`	Output of function perm.test, if part = TRUE.
`k`	Number of groups, must be greater than 2.
`lab`	Group labels. Defaults to 1, 2, ..., k.
`save`	Boolean variable that indicates if the plot must be saved as an .eps. Defaults to FALSE.
`name`	If `save` is TRUE, this is the filename of the plot. Defaults to `pvalues.eps`.

perm.plot plots the partial p-values in a matrix.

Alessandra Cabassi alessandra.cabassi@mail.polimi.it

Pigoli, Davide, John A. D. Aston, Ian L. Dryden, and Piercesare Secchi (2014). "Distances and inference for covariance operators." Biometrika: asu008.

## Not run: 
## Phoneme data

library(fdcov)
library(fds)

# Create data set
data(aa); data(ao); data(dcl);data(iy);data(sh)
dat=cbind(aa$y[,1:20],ao$y[,1:20],dcl$y[,1:20],iy$y[,1:20],sh$y[,1:20])
dat=t(dat)
grp=c(rep(1,20),rep(2,20),rep(3,20),rep(4,20),rep(5,20))

# Test the equality of the covariance operators
p=ksample.perm(dat,grp,iter=100,only.glob=FALSE)

# Plot partial p-values
perm.plot(p,5, lab=c('aa','ao','dcl','iy','sh'))

## End(Not run)