rtest.discrimin {ade4} | R Documentation |
Monte-Carlo Test on a Discriminant Analysis (in R).
Description
Test of the sum of a discriminant analysis eigenvalues (divided by the rank). Non parametric version of the Pillai's test. It authorizes any weighting.
Usage
## S3 method for class 'discrimin'
rtest(xtest, nrepet = 99, ...)
Arguments
xtest |
an object of class |
nrepet |
the number of permutations |
... |
further arguments passed to or from other methods |
Value
returns a list of class rtest
Author(s)
Daniel Chessel
Examples
data(meaudret)
pca1 <- dudi.pca(meaudret$env, scan = FALSE, nf = 3)
rand1 <- rtest(discrimin(pca1, meaudret$design$season, scan = FALSE), 99)
rand1
#Monte-Carlo test
#Observation: 0.3035
#Call: as.rtest(sim = sim, obs = obs)
#Based on 999 replicates
#Simulated p-value: 0.001
plot(rand1, main = "Monte-Carlo test")
summary.manova(manova(as.matrix(meaudret$env)~meaudret$design$season), "Pillai")
# Df Pillai approx F num Df den Df Pr(>F)
# meaudret$design$season 3 2.73 11.30 27 30 1.6e-09 ***
# Residuals 16
# ---
# Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1
# 2.731/9 = 0.3034
[Package ade4 version 1.7-22 Index]