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 |
ask |
the graphics parameter |
type |
the type of line (see |
cex |
plot symbol expansion factor (relative to
|
main , xlab , ylab |
axis annotations, see also
|
... |
further graphical parameters, passed to
|
Value
None
Side Effects
A series of plots are drawn on the current graphical device, one for each term in the fit.
See Also
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 4.4.0 Index]