swh:1:snp:9523f0d466702d960abd89c52a35d2466e8b9dc4
Tip revision: 6558a667945a2eb93983bb2ec0879af62e27f4d9 authored by J. O. Ramsay on 14 August 2017, 12:10:02 UTC
version 2.4.7
version 2.4.7
Tip revision: 6558a66
lines.fd.Rd
\name{lines.fd}
\alias{lines.fd}
\alias{lines.fdSmooth}
\title{
Add Lines from Functional Data to a Plot
}
\description{
Lines defined by functional observations are added to an existing plot.
}
\usage{
\method{lines}{fd}(x, Lfdobj=int2Lfd(0), nx=201, ...)
\method{lines}{fdSmooth}(x, Lfdobj=int2Lfd(0), nx=201, ...)
}
\arguments{
\item{x}{
a univariate functional data object to be evaluated at \code{nx}
points over \code{xlim} and added as a line to an existing plot.
}
\item{Lfdobj}{
either a nonnegative integer or a linear differential operator
object. If present, the derivative or the value of applying the
operator is evaluated rather than the functions themselves.
}
\item{nx}{
Number of points within \code{xlim} at which to evaluate \code{x}
for plotting.
}
\item{\dots }{
additional arguments such as axis titles and so forth that can be
used in plotting programs called by \code{lines.fd} or
\code{lines.fdSmooth}.
}
}
\section{Side Effects}{
Lines added to an existing plot.
}
\seealso{
\code{\link{plot.fd}},
\code{\link{plotfit.fd}}
}
\examples{
##
## plot a fit with 3 levels of smoothing
##
x <- seq(-1,1,0.02)
y <- x + 3*exp(-6*x^2) + sin(1:101)/2
# sin not rnorm to make it easier to compare
# results across platforms
result4.0 <- smooth.basisPar(argvals=x, y=y, lambda=1)
result4.m4 <- smooth.basisPar(argvals=x, y=y, lambda=1e-4)
plot(x, y)
lines(result4.0$fd)
lines(result4.m4$fd, col='blue')
lines.fdSmooth(result4.0, col='red')
plot(x, y, xlim=c(0.5, 1))
lines.fdSmooth(result4.0)
lines.fdSmooth(result4.m4, col='blue')
# no visible difference from the default?
}
% docclass is function
\keyword{smooth}