Functional ANOVA

Tests for differences in mean functions across groups using a permutation-based F-test.

Usage

fanova(fdataobj, groups, n.perm = 1000)

Arguments

fdataobj

An object of class 'fdata'.

groups

Integer vector of group labels.

n.perm

Number of permutations (default 1000).

Value

An object of class 'fanova' with components:

group.means

Group mean functions as fdata

overall.mean

Overall mean function

f.statistic.t

Pointwise F-statistic

global.statistic

Global test statistic

p.value

P-value from permutation test

Examples

# \donttest{
fd <- fdata(matrix(rnorm(500), 50, 10), argvals = seq(0, 1, length.out = 10))
groups <- rep(1:2, each = 25)
res <- fanova(fd, groups = groups, n.perm = 100)
res
#> Functional ANOVA
#> ================
#>   Number of groups: 2 
#>   Number of observations: 50 
#>   Global F-statistic: 1.0434 
#>   P-value: 0.57426 
#>   Permutations: 100 
# }