SplineBasis
and OrthogonalSplineBasis
Contains the matrix representation for spline basis functions. The OrthogonalSplineBasis
class has the basis functions orthogonalized.
Objects can be created by calls of the form SplineBasis(knots, order)
or to generate orthogonal spline basis functions directly OrthogonalSplineBasis(knots, order)
or the short version OBasis(knots,order)
.
transformation
:Object of class "matrix"
Only applicable on OrthogonalSplineBasis
class, shows the transformation matrix use to get from regular basis functions to orthogonal basis functions.
knots
:Object of class "numeric"
order
:Object of class "integer"
Matrices
:Object of class "array"
signature(expr = "SplineBasis")
: Computes the derivative of the basis functions. Returns an object of class SplineBasis
.
signature(x = "SplineBasis")
: gives the dim as the order and number of basis functions. Returns numeric of length 2.
signature(object = "SplineBasis", x = "numeric")
: Evaluates the basis functions and the points provided in x. Returns a matrix with length(x)
rows and dim(object)[2]
columns.
signature(object = "SplineBasis")
: computes the integral of the basis functions defined by \(\int\limits_{k_0}^x b(t)dt\) where \(k_0\) is the first knot. Returns an object of class SplineBasis
.
signature(object = "SplineBasis")
: Takes in a SplineBasis
object, computes the orthogonalization transformation and returns an object of class OrthogonalSplineBasis
.
signature(x = "SplineBasis", y = "missing")
: Takes an object of class SplineBasis
and plots the basis functions for the domain defined by the knots in object.
signature(x = "SplineBasis", y = "vector")
: Interprets y as a vector of coefficients and plots the resulting curve.
signature(x = "SplineBasis", y = "matrix")
: Interprets y as a matrix of coefficients and plots the resulting curves.
General matrix representations for B-splines Kaihuai Qin, The Visual Computer 2000 16:177--186
# NOT RUN {
showClass("SplineBasis")
knots<-c(0,0,0,0:5,5,5,5)
(base <-SplineBasis(knots))
(obase<-OBasis(knots))
plot(base)
plot(obase)
# }
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