fdata.methods
fdata S3 Group Generic Functions
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.
- Keywords
- math, Descriptive
Usage
# S3 method for fdata
Math(x, ...)# S3 method for fdata
Ops(e1, e2 = NULL)
# S3 method for fdata
Summary(..., na.rm = FALSE)
# S3 method for fdata
split(x, f, drop = FALSE, ...)
order.fdata(y, fdataobj, na.last = TRUE, decreasing = FALSE)
is.fdata(fdataobj)
Arguments
- x
An
fdataobject containing values to be divided into groups or anlistoffdataobjects containing values to be combine by rows in a to be flatten onefdataobject.- …
Further arguments passed to methods.
- e1, e2
fdataclass 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
logicalindicating 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
fdataclass 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
logicalShould 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
splitis 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
fdataobjw.r.t. a permutation which rearranges its first argument into ascending or descending order.
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]])
# }
# NOT RUN {
# }