# lines.fd: Add Lines from Functional Data to a Plot In fda: Functional Data Analysis

 lines.fd R Documentation

## Add Lines from Functional Data to a Plot

### 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.

### References

Ramsay, James O., Hooker, Giles, and Graves, Spencer (2009), Functional data analysis with R and Matlab, Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2005), Functional Data Analysis, 2nd ed., Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York.

`plot.fd`, `plotfit.fd`

### Examples

``````oldpar <- par(no.readonly=TRUE)
##
## 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?
par(oldpar)
``````

fda documentation built on May 29, 2024, 11:26 a.m.