predict.bSpline
Evaluate a Spline at New Values of x
Description
Generic methods to evaluate a spline at new values of x for class spline.
Usage
predict.bSpline(object, x, nseg = 50, deriv = 0, ...)
## S3 method for class 'bSpline':
predict(object, x, nseg = 50, deriv = 0, ...)
## S3 method for class 'nbSpline':
predict(object, x, nseg = 50, deriv = 0, ...)
## S3 method for class 'pbSpline':
predict(object, x, nseg = 50, deriv = 0, ...)
## S3 method for class 'npolySpline':
predict(object, x, nseg = 50, deriv = 0, ...)
## S3 method for class 'ppolySpline':
predict(object, x, nseg = 50, deriv = 0, ...)
Arguments
| object |
an object that inherits from class spline.
|
| x |
a numeric vector, or any object that can be coerced to a numeric vector,
at which to evaluate the spline.
If this argument is missing, a sequence of length nseg+1 covering
the range of the knots, excluding the outer knots
created for the B-spline representation, is generated.
|
| nseg |
an integer used when x is missing.
Indicates the number of segments for the default value x.
|
| deriv |
a positive integer indicating the order of derivative required.
By default, derive is 0. Must be smaller than splineOrder(object).
|
| ... |
additional arguments to be passed to or from future functions.
|
Details
When predict.bSpline is used to make predictions outside of the range of x,
the values predict.npolySpline and predict.nbSpline, which are used to
create the spline, linearly extrapolate, using the values and derivatives of the spline at its edges.
Value
returns a list of objects of class "xyVector", with x and y vector components.
| x | the supplied value of x, or the inferred value from object. |
| y | the values of the spline evaluated at x. |
See Also
Examples
i <- interpSpline(c(1,2,3,4),c(5,9,11,12))
predict(i, x=seq(1,4,by=1/4))