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))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.