TITLE(splinefun @@ Interpolating Splines)
USAGE(
splinefun(x, y, method="fmm")
)
ALIAS(splinefun)
ARGUMENTS(
ARG(x,y @@ vectors giving the coordinates of the points to be interpolated.
Alternatively a single plotting structure can be specified.)
ARG(method @@ this specifies the type of spline to be used.
Possible values are LANG("fmm"), LANG("natural") and LANG("periodic").)
)
DESCRIPTION(
LANG(splinefun) returns a function which will perform
cubic spline interpolation of the given data points.
This is often more useful than LANG(spline).
PARA
If LANG(method="fmm"), the spline used is that of
Forsythe, Malcolm and Moler (an exact cubic is fitted through
the four points at each end of the data, and this is used
to determine the end conditions).
Natural splines are used when
LANG(method="natural") and periodic splines when 
LANG(method="periodic").
)
REFERENCES(
Forsythe, G. E., M. A. Malcolm and C. B. Moler (1977).
ITALIC(Computer Methods for Mathematical Computations).
)
SEEALSO(
LANG(LINK(approx)), LANG(LINK(approxfun)), LANG(LINK(spline)).
)
EXAMPLES(
x <- 1:10
y <- rnorm(10)
f <- splinefun(x, y)
curve(f(x), 1, 10)
)
