perm.plot: Plot partial p-values

In fdcov: Analysis of Covariance Operators

Description

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

Usage

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

Arguments

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.

Value

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

Author(s)

Alessandra Cabassi [e-mail]

References

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

Examples

## 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)

fdcov documentation built on May 30, 2017, 3:40 a.m.

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