earth models by plotting them.
"plot"(x = stop("no 'x' argument"), which = c(1:2), caption = "", jitter = 0, col.grsq = discrete.plot.cols(length(objects)), lty.grsq = 1, col.rsq = 0, lty.rsq = 5, col.vline = col.grsq, lty.vline = "12", col.npreds = 0, lty.npreds = 2, legend.text = NULL, do.par = NULL, trace = 0, ...)1:2, meaning both.
"string" string
"" (default) no caption
NULL generate a caption from the $call component of the earth objects.
0, meaning no jitter.
A typical useful value is 0.01.For the col arguments below, 0 means do not plot the corresponding graph element. You can use vectors of colors.
discrete.plot.cols(length(x)) which is vector
of distinguishable colors, the first three of which are also distinguishable on
a monochrome printer.
You can examine the colors using
earth:::discrete.plot.cols().
1.
0, meaning no RSq plot.
5.
col.vline.
Default is col.grsq.
3.
0, meaning no "number of predictors" plot.
The special value NULL means borrow col.grsq
(or col.rsq if col.grsq is NULL).
2.
plotres
plotres
earth,
plot.earth,
plot.earth.models,
plotd,
plotmo
data(ozone1)
a1 <- earth(O3 ~ ., data = ozone1, degree = 2)
a2 <- earth(O3 ~ .-wind, data = ozone1, degree = 2)
a3 <- earth(O3 ~ .-humidity, data = ozone1, degree = 2)
plot.earth.models(list(a1,a2,a3), ylim=c(.65,.85))
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