bsplines | R Documentation |
These functions generate B-spline basis functions.
bspline_basis
gives a basis of spline functions.
periodic_bspline_basis
gives a
basis of periodic spline functions.
bspline_basis(x, nbasis, degree = 3, deriv = 0, names = NULL, rg = range(x))
periodic_bspline_basis(
x,
nbasis,
degree = 3,
period = 1,
deriv = 0,
names = NULL
)
x |
Vector at which the spline functions are to be evaluated. |
nbasis |
The number of basis functions to return. |
degree |
Degree of requested B-splines. |
deriv |
The order of the derivative required. |
names |
optional; the names to be given to the basis functions. These
will be the column-names of the matrix returned. If the names are
specified as a format string (e.g., "basis%d"), |
rg |
numeric of length 2; range of the B-spline basis.
To be properly specified, we must have |
period |
The period of the requested periodic B-splines. |
bspline_basis |
Returns a matrix with |
periodic_bspline_basis |
Returns a matrix with |
If deriv>0
, the derivative of that order of each of the corresponding spline basis functions are returned.
Access to the underlying C routines is available: see the pomp C API document. for definition and documentation of the C API.
Aaron A. King
More on interpolation:
covariates
,
lookup()
x <- seq(0,2,by=0.01)
y <- bspline_basis(x,degree=3,nbasis=9,names="basis")
matplot(x,y,type='l',ylim=c(0,1.1))
lines(x,apply(y,1,sum),lwd=2)
x <- seq(-1,2,by=0.01)
y <- periodic_bspline_basis(x,nbasis=5,names="spline%d")
matplot(x,y,type='l')
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