panel.pspline {TurboNorm} | R Documentation

## Panel function for adding a P-spline smoothed curves to a lattice graphics panel

### Description

The function panel.pspline is similar to panel.loess but show the P-spline smoothed curve.

### Usage

    panel.pspline(x, y, weights = rep(1, length(y)), nintervals = 100, type, horizontal = FALSE, col.line=1, lty=1, lwd=1, ...)

### Arguments

`x, y` | vectors giving the coordinates of the points in the scatter plot
`weights` | vector of weights of with same length as the data for a weighted smoothing. Default all weights are 1.
`nintervals` | an integer indicating the number of intervals equal to 1 + number of knots. Currently the intervals must be langer than 10.
`type` | see `panel.loess`
`horizontal` | see `panel.loess`
`col.line, lty, lwd` | line colour, type and width that will be used in the plots, defaults are col=1, lty=1 and lwd=1.
`...` | see `panel.loess`

### Details

?panel.loess

### Author(s)

Maarten van Iterson and Chantal van Leeuwen

### References

Deepayan Sarkar (2009). lattice: Lattice Graphics. R package version 0.17-26. http://CRAN.R-project.org/package=lattice

van Iterson M, Duijkers FA, Meijerink JP, Admiraal P, van Ommen GJ, Boer JM, van Noesel MM, Menezes RX (2012). A novel and fast normalization method for high-density arrays. SAGMB, 11(4).

Paul .H.C. Eilers and Brain D. Marx (1996). Flexible smoothing with B-splines and Penalties. Statistical Science, Vol 11, No. 2, 89-121.

### See Also

`panel.loess`

### Examples

    library(marray)
    library(lattice)
    data(swirl)
    data <- data.frame(M=as.vector(maM(swirl)), A=as.vector(maA(swirl)), Sample=rep(paste("Array", 1:4), each=nrow(swirl)))

    xyplot(M~A|Sample, data=data,
                            panel = function(x, y) {
                panel.grid(h=-1, v= 2)
                panel.xyplot(x, y)
                panel.loess(x, y, span=0.25, col="black")
                                                    panel.pspline(x, y, col="red", lwd=2)})

[Package TurboNorm version 1.38.0 Index]