R: Plot Ridge Functions for Projection Pursuit Regression Fit

plot.ppr {stats}

R Documentation

Plot Ridge Functions for Projection Pursuit Regression Fit

Description

Plot the ridge functions for a projection pursuit regression (ppr) fit.

Usage

## S3 method for class 'ppr'
plot(x, ask, type = "o", cex = 1/2,
     main = quote(bquote(
         "term"[.(i)]*":" ~~ hat(beta[.(i)]) == .(bet.i))),
     xlab = quote(bquote(bold(alpha)[.(i)]^T * bold(x))),
     ylab = "", ...)

Arguments

`x`	an R object of class `"ppr"` as produced by a call to `ppr`.
`ask`	the graphics parameter `ask`: see `par` for details. If set to `TRUE` will ask between the plot of each cross-section.
`type`	the type of line (see `plot.default`) to draw.
`cex`	plot symbol expansion factor (relative to `par("cex")`).
`main, xlab, ylab`	axis annotations, see also `title`. Can be an expression (depending on `i` and `bet.i`), as by default which will be `eval()`uated.
`...`	further graphical parameters, passed to `plot()`.

Value

None

Side Effects

A series of plots are drawn on the current graphical device, one for each term in the fit.

Examples

require(graphics)

rock1 <- within(rock, { area1 <- area/10000; peri1 <- peri/10000 })
par(mfrow = c(3,2)) # maybe: , pty = "s")
rock.ppr <- ppr(log(perm) ~ area1 + peri1 + shape,
                data = rock1, nterms = 2, max.terms = 5)
plot(rock.ppr, main = "ppr(log(perm)~ ., nterms=2, max.terms=5)")
plot(update(rock.ppr, bass = 5), main = "update(..., bass = 5)")
plot(update(rock.ppr, sm.method = "gcv", gcvpen = 2),
     main = "update(..., sm.method=\"gcv\", gcvpen=2)")

[Package stats version 3.4.1 Index]