fdata.methods {fda.usc} | R Documentation |
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 |
... |
Further arguments passed to methods. |
e1 , e2 |
|
na.rm |
|
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 |
|
y |
A sequence of numeric, complex, character or logical vectors, all of the same length, or a classed R object. |
fdataobj |
|
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 |
|
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@udc.es
See Also
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)