dataf | R Documentation |
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$fdata2d = TRUE
is not supported.
dataf(fdatas, labels)
fdatas |
an |
labels |
a list of labels of the functional observations.
If |
The functional data as a data structure (see dataf.*
).
dataf
The functional data as a list of objects. Each object is characterized by two coordinates
args
The arguments vector
vals
The values vector
labels
The classes of the objects
dataf.*
for the functional data format.
ddalphaf.train
to train the functional DD\alpha
-classifier
compclassf.train
to train the functional componentwise classifier
plot.functional
for building plots of functional data
## Not run:
library(fda.usc)
data(phoneme)
# 1. convert a fdata object that contains multiple classes.
# labels are defined for each curve
converted = dataf(phoneme$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)
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