# predict.bSpline

##### Evaluate a Spline at New Values of x

The `predict`

methods for the classes that inherit from the
virtual classes `bSpline`

and `polySpline`

are used to
evaluate the spline or its derivatives. The `plot`

method for a
spline object first evaluates `predict`

with the `x`

argument missing, then plots the resulting `xyVector`

with
`type = "l"`

.

- Keywords
- models

##### Usage

```
## S3 method for class 'bSpline':
predict(object, x, nseg = 50, deriv = 0, \dots)
## S3 method for class 'nbSpline':
predict(object, x, nseg = 50, deriv = 0, \dots)
## S3 method for class 'pbSpline':
predict(object, x, nseg = 50, deriv = 0, \dots)
## S3 method for class 'npolySpline':
predict(object, x, nseg = 50, deriv = 0, \dots)
## S3 method for class 'ppolySpline':
predict(object, x, nseg = 50, deriv = 0, \dots)
```

##### Arguments

- object
- An object that inherits from the
`bSpline`

or the`polySpline`

class. - x
- A numeric vector of
`x`

values at which to evaluate the spline. If this argument is missing a suitable set of`x`

values is generated as a sequence of`nseq`

segments spanning the range of the knots. - nseg
- A positive integer giving the number of segments in a set
of equally-spaced
`x`

values spanning the range of the knots in`object`

. This value is only used if`x`

is missing. - deriv
- An integer between 0 and
`splineOrder(object) - 1`

specifying the derivative to evaluate. - ...
- further arguments passed to or from other methods.

##### Value

- an
`xyVector`

with components x the supplied or inferred numeric vector of `x`

valuesy the value of the spline (or its `deriv`

'th derivative) at the`x`

vector

##### See Also

##### Examples

`library(splines)`

```
require(graphics); require(stats)
ispl <- interpSpline( weight ~ height, women )
opar <- par(mfrow = c(2, 2), las = 1)
plot(predict(ispl, nseg = 201), # plots over the range of the knots
main = "Original data with interpolating spline", type = "l",
xlab = "height", ylab = "weight")
points(women$height, women$weight, col = 4)
plot(predict(ispl, nseg = 201, deriv = 1),
main = "First derivative of interpolating spline", type = "l",
xlab = "height", ylab = "weight")
plot(predict(ispl, nseg = 201, deriv = 2),
main = "Second derivative of interpolating spline", type = "l",
xlab = "height", ylab = "weight")
plot(predict(ispl, nseg = 401, deriv = 3),
main = "Third derivative of interpolating spline", type = "l",
xlab = "height", ylab = "weight")
par(opar)
```

*Documentation reproduced from package splines, version 3.3, License: Part of R @VERSION@*

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