ffpcplot: Plot PC-based function-on-function regression terms

Description

Convenience function for graphical summaries of ffpc-terms from a pffr fit.

Usage

ffpcplot(
  object,
  type = c("fpc+surf", "surf", "fpc"),
  pages = 1,
  se.mult = 2,
  ticktype = "detailed",
  theta = 30,
  phi = 30,
  plot = TRUE,
  auto.layout = TRUE
)

Value

primarily produces plots, invisibly returns a list containing the data used for the plots.

Arguments

object: a fitted pffr-model
type: one of "fpc+surf", "surf" or "fpc": "surf" shows a perspective plot of the coefficient surface implied by the estimated effect functions of the FPC scores, "fpc" shows three plots: 1) a scree-type plot of the estimated eigenvalues of the functional covariate, 2) the estimated eigenfunctions, and 3) the estimated coefficient functions associated with the FPC scores. Defaults to showing both.
pages: the number of pages over which to spread the output. Defaults to 1. (Irrelevant if auto.layout=FALSE.)
se.mult: display estimated coefficient functions associated with the FPC scores with plus/minus this number time the estimated standard error. Defaults to 2.
ticktype: see persp.
theta: see persp.
phi: see persp.
plot: produce plots or only return plotting data? Defaults to TRUE.
auto.layout: should the the function set a suitable layout automatically? Defaults to TRUE

Author

Fabian Scheipl

Examples

Run this code

if (FALSE) {
 #see ?ffpc
}

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