fdata.deriv | R Documentation |
Computes the derivative of functional data.
If method ="bspline", "exponential", "fourier",
"monomial" or "polynomial".
fdata.deriv
function creates a basis to represent the functional
data.
The functional data are converted to class fd
using the
Data2fd
function and the basis indicated in the method
.
Finally, the function calculates the derivative of order nderiv
of
curves using deriv.fd
function.
If method
="fmm", "periodic", "natural" or
"monoH.FC" is used splinefun
function.
If method
="diff", raw derivation is applied. Not recommended to
use this method when the values are not equally spaced.
fdata.deriv( fdataobj, nderiv = 1, method = "bspline", class.out = "fdata", nbasis = NULL, ... )
fdataobj |
|
nderiv |
Order of derivation, by defalult |
method |
Type of derivative method, for more information see details. |
class.out |
Class of functional data returned: |
nbasis |
Number of Basis for |
... |
Further arguments passed to or from other methods. |
Returns the derivative of functional data of fd
class if
class.out
="fd" or fdata
class if class.out
="fdata".
See also deriv.fd
, splinefun
and
fdata
data(tecator) absorp=tecator$absorp.fdata tecator.fd1=fdata2fd(absorp) tecator.fd2=fdata2fd(absorp,"fourier",9) tecator.fd3=fdata2fd(absorp,"fourier",nbasis=9,nderiv=1) #tecator.fd1;tecator.fd2;tecator.fd3 tecator.fdata1=fdata(tecator.fd1) tecator.fdata2=fdata(tecator.fd2) tecator.fdata3=fdata(tecator.fd3) tecator.fdata4=fdata.deriv(absorp,nderiv=1,method="bspline", class.out='fdata',nbasis=9) tecator.fd4=fdata.deriv(tecator.fd3,nderiv=0,class.out='fd',nbasis=9) plot(tecator.fdata4) plot(fdata.deriv(absorp,nderiv=1,method="bspline",class.out='fd',nbasis=11))
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