Monte-Carlo Test on the between-groups inertia percentage (in C).

Performs a Monte-Carlo test on the between-groups inertia percentage.

Usage

# S3 method for between
randtest(xtest, nrepet = 999, ...)

Arguments

xtest: an object of class between
nrepet: the number of permutations
...: further arguments passed to or from other methods

Value

a list of the class randtest

References

Romesburg, H. C. (1985) Exploring, confirming and randomization tests. Computers and Geosciences, 11, 19--37.

Author

Jean Thioulouse Jean.Thioulouse@univ-lyon1.fr

Examples

data(meaudret)
pca1 <- dudi.pca(meaudret$env, scan = FALSE, nf = 3)
rand1 <- randtest(bca(pca1, meaudret$design$season, scan = FALSE), 99)
rand1
#> Monte-Carlo test
#> Call: randtest.between(xtest = bca(pca1, meaudret$design$season, scan = FALSE), 
#>     nrepet = 99)
#> 
#> Observation: 0.3722686 
#> 
#> Based on 99 replicates
#> Simulated p-value: 0.02 
#> Alternative hypothesis: greater 
#> 
#>     Std.Obs Expectation    Variance 
#> 3.425179361 0.159835779 0.003846597 
plot(rand1, main = "Monte-Carlo test")