plot.profile.nls
Plot a profile.nls Object
Displays a series of plots of the profile t function and interpolated
confidence intervals for the parameters in a nonlinear regression
model that has been fit with nls
and profiled with
profile.nls
.
- Keywords
- models, regression, nonlinear
Usage
"plot"(x, levels, conf = c(99, 95, 90, 80, 50)/100, absVal = TRUE, ylab = NULL, lty = 2, ...)
Arguments
- x
- an object of class
"profile.nls"
- levels
- levels, on the scale of the absolute value of a t
statistic, at which to interpolate intervals. Usually
conf
is used instead of givinglevels
explicitly. - conf
- a numeric vector of confidence levels for profile-based
confidence intervals on the parameters.
Defaults to
c(0.99, 0.95, 0.90, 0.80, 0.50).
- absVal
- a logical value indicating whether or not the plots
should be on the scale of the absolute value of the profile t.
Defaults to
TRUE
. - lty
- the line type to be used for axis and dropped lines.
- ylab, ...
- other arguments to the
plot.default
function can be passed here (but notxlab
,xlim
,ylim
nortype
).
Details
The plots are produced in a set of hard-coded colours, but as these
are coded by number their effect can be changed by setting the
palette
. Colour 1 is used for the axes and 4 for the
profile itself. Colours 3 and 6 are used for the axis line at zero and
the horizontal/vertical lines dropping to the axes.
References
Bates, D.M. and Watts, D.G. (1988), Nonlinear Regression Analysis and Its Applications, Wiley (chapter 6)
See Also
Examples
library(stats)
require(graphics)
# obtain the fitted object
fm1 <- nls(demand ~ SSasympOrig(Time, A, lrc), data = BOD)
# get the profile for the fitted model
pr1 <- profile(fm1, alpha = 0.05)
opar <- par(mfrow = c(2,2), oma = c(1.1, 0, 1.1, 0), las = 1)
plot(pr1, conf = c(95, 90, 80, 50)/100)
plot(pr1, conf = c(95, 90, 80, 50)/100, absVal = FALSE)
mtext("Confidence intervals based on the profile sum of squares",
side = 3, outer = TRUE)
mtext("BOD data - confidence levels of 50%, 80%, 90% and 95%",
side = 1, outer = TRUE)
par(opar)
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