Central and dispersion measures for functional data.
Arguments
- formula
a formula, such as y ~ group, where y is a fdata object to be split into groups according to the grouping variable group (usually a factor).
- data
List that containing the variables in the formula. The item called "df" is a data frame with the grouping variable. The item called "y" is a fdata object.
- drop
logical indicating if levels that do not occur should be dropped (if f is a factor or a list).
- func
Measures for functional data.