lines.fd: Add Lines from Functional Data to a Plot

In fda: Functional Data Analysis

Description

Lines defined by functional observations are added to an existing plot.

Usage

## S3 method for class 'fd'
lines(x, Lfdobj=int2Lfd(0), nx=201, ...)
## S3 method for class 'fdSmooth'
lines(x, Lfdobj=int2Lfd(0), nx=201, ...)

Arguments

x	a univariate functional data object to be evaluated at nx points over xlim and added as a line to an existing plot.
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.
nx	Number of points within xlim at which to evaluate x for plotting.
...	additional arguments such as axis titles and so forth that can be used in plotting programs called by lines.fd or lines.fdSmooth.

Side Effects

Lines added to an existing plot.

See Also

plot.fd, 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?  

fda documentation built on May 2, 2019, 5:12 p.m.