plot.nlreg.contours {nlreg} | R Documentation |
This is a method for the function plot
for
objects inheriting from class nlreg.contours
.
## S3 method for class 'nlreg.contours': plot(x, alpha = c(0.1, 0.05), drawlabels = FALSE, lwd1 = 1, lwd2 = 1, lty1 = "solid", lty2 = "solid", cl1 = "blue", cl2 = "red", col = "black", pch1 = 1, pch2 = 16, cex = 0.5, ...)
x |
a nlreg.contours object, that is, the result of a call to
linebreak
contour.all.nlreg.profiles .
|
alpha |
a numerical vector defining the levels of the contours; the default
is c(0.1, 0.05) , that is, 1-alpha =0.9
and 1-alpha =0.95.
|
drawlabels |
logical value. Contours are labelled if TRUE .
|
lwd1, lwd2 |
the line widths used to compare different curves in the same
plot; default is lwd2 = 2 for higher order solutions and
lwd1 = 1 for first order solutions.
|
lty1, lty2 |
line types used to compare different curves in the same plot;
default is "solid" for all statistics.
|
cl1, cl2, col |
colors used to compare different curves in the same plot; default
is cl2 = "red" for higher order solutions, and
cl1 = "blue" for the remaining first order statistics.
The default color of the plot is col = "black" .
|
pch1, pch2 |
character types used to compare different values in the same plot;
default is pch2 = 16 for higher order solutions, and
pch1 = 1 for the remaining first order statistics.
|
cex |
the character expansions relative to the standard size of the
device to be used for printing text. The default is
cex = 0.5 .
|
... |
additional graphics parameters. |
No value is returned.
A plot is produced on the current graphics device.
nlreg.contours.object
,
contour.all.nlreg.profiles
data(metsulfuron) metsulfuron.nl <- nlreg( formula = log(area) ~ log( b1+(b2-b1) / (1+(dose/b4)^b3) ), weights = ~ ( 1+dose^exp(g) )^2, data = metsulfuron, start = c(b1 = 138, b2 = 2470, b3 = 2, b4 = 0.07, g = log(0.3)), hoa = TRUE ) ## metsulfuron.prof <- profile( metsulfuron.nl, trace = TRUE ) metsulfuron.cont <- contour( metsulfuron.prof, ret = TRUE, plotit = FALSE ) par( mai = rep(0.2, 4) ) plot( metsulfuron.cont )