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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