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

### Description

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

### Usage

 ```1 2 3 4``` ```## 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.

`plot.fd`, `plotfit.fd`

### Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20``` ```## ## 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? ```

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