refund: plot.fpcr – R documentation

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plot.fpcr

Default plotting for functional principal component regression output

Inputs an object created by fpcr, and plots the estimated coefficient function.

## S3 method for class 'fpcr'
plot(
  x,
  se = TRUE,
  col = 1,
  lty = c(1, 2, 2),
  xlab = "",
  ylab = "Coefficient function",
  ...
)

`x`	an object of class `"fpcr"`.
`se`	if `TRUE` (the default), upper and lower lines are added at 2 standard errors (in the Bayesian sense; see Wood, 2006) above and below the coefficient function estimate. If a positive number is supplied, the standard error is instead multiplied by this number.
`col`	color for the line(s). This should be either a number, or a vector of length 3 for the coefficient function estimate, lower bound, and upper bound, respectively.
`lty`	line type(s) for the coefficient function estimate, lower bound, and upper bound.
`xlab, ylab`	x- and y-axis labels.
`...`	other arguments passed to the underlying plotting function.

None; only a plot is produced.

Wood, S. N. (2006). Generalized Additive Models: An Introduction with R. Boca Raton, FL: Chapman & Hall.