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fdata.methods

fdata S3 Group Generic Functions

Description

fdata Group generic methods defined for four specified groups of functions, Math, Ops, Summary and Complex.

order.fdata and split.fdata: A wrapper for the order and split function for fdata object.

Usage

## S3 method for class 'fdata'
Math(x, ...)

## S3 method for class 'fdata'
Ops(e1, e2 = NULL)

## S3 method for class 'fdata'
Summary(..., na.rm = FALSE)

## S3 method for class 'fdata'
split(x, f, drop = FALSE, ...)

order.fdata(y, fdataobj, na.last = TRUE, decreasing = FALSE)

is.fdata(fdataobj)

Arguments

x

An fdata object containing values to be divided into groups or an list of fdata objects containing values to be combine by rows in a to be flatten one fdata object.
...

Further arguments passed to methods.
e1, e2

fdata class object
na.rm

logical: should missing values be removed?
f

a factor in the sense that as.factor(f) defines the grouping, or a list of such factors in which case their interaction is used for the grouping.
drop

logical indicating if levels that do not occur should be dropped (if f is a factor or a list).
y

A sequence of numeric, complex, character or logical vectors, all of the same length, or a classed R object.
fdataobj

fdata class object.
na.last

for controlling the treatment of NAs. If TRUE, missing values in the data are put last; if FALSE, they are put first; if NA, they are removed; if "keep" they are kept with rank NA.
decreasing

logical Should the sort order be increasing or decreasing?.

Details

In order.fdata the funcional data is ordered w.r.t the sample order of the values of vector.

split.fdata divides the data in the fdata object x into the groups defined by f.

Value

  • split.fdata: The value returned from split is a list of fdata objects containing the values for the groups. The components of the list are named by the levels of f (after converting to a factor, or if already a factor and drop = TRUE, dropping unused levels).\

  • order.fdata: returns the functional data fdataobj w.r.t. a permutation which rearranges its first argument into ascending or descending order.

Author(s)

Manuel Febrero Bande and Manuel Oviedo de la Fuente manuel.oviedo@usc.es

See Also

See Summary and Complex.

Examples

## Not run: 
data(tecator)
absor<-tecator$absorp.fdata
absor2<-fdata.deriv(absor,1)
absor<-absor2[1:5,1:4]
absor2<-absor2[1:5,1:4]
sum(absor)
round(absor,4)
log1<-log(absor)

fdataobj<-fdata(MontrealTemp)
fac<-factor(c(rep(1,len=17),rep(2,len=17)))
a1<-split(fdataobj,fac)
dim(a1[[1]]);dim(a1[[2]])

## End(Not run)
fda.usc

Functional Data Analysis and Utilities for Statistical Computing

v2.0.2
GPL-2
Authors
Manuel Febrero Bande [aut], Manuel Oviedo de la Fuente [aut, cre], Pedro Galeano [ctb], Alicia Nieto [ctb], Eduardo Garcia-Portugues [ctb]
Initial release
2020-02-17

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