ddalpha: dataf – R documentation

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dataf

Converts data from fdata class to the functional class.

Description

fda.usc contains a handy function fdata that converts varios types of functional data to the fdata class. To use these data in ddalphaf.train it must first be converted with dataf.

The function may be used either to convert a fdata object that contains multiple classes, or to convert multiple fdata objects, each of which contains one class.

Note that fdata$fdata2d = TRUE is not supported.

Usage

dataf(fdatas, labels)

Arguments

`fdatas`	an `fdata` object with curves belonging to multiple classes, or a list of `fdata` objects, each of which contains curves of the same class
`labels`	a list of labels of the functional observations. If `fdatas` is a single `fdata` object, the list contains labels for each curve. If `fdatas` is a list of `fdata` objects, the list labels for each of these `fdata` objects.

Format

The functional data as a data structure (see dataf.*).

dataf

The functional data as a list of objects. Each object is characterized by two coordinates

args: The arguments vector
vals: The values vector

labels

The classes of the objects

Examples

## Not run: 
library(fda.usc)
data(phoneme)

# 1. convert a fdata object that contains multiple classes.
#    labels are defined for each curve
converted = dataf(phoneme$learn, phoneme$classlearn)
plot.functional(converted)

# 2. convert multiple fdata objects, each of which contains one class
#    the same label is applied to all curves of each fdata object
converted = dataf(list(phoneme$learn, phoneme$test), c("1 red", "2 blue"))
converted$name = "Phoneme learn (red) and test (blue)"
plot.functional(converted)

## End(Not run)

ddalpha

Depth-Based Classification and Calculation of Data Depth

v1.3.11

GPL-2

Authors

Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut], Stanislav Nagy [aut]

Initial release

2020-01-09