Plot a bootstrap NLS fit
# S3 method for bootstrapfit
plot(x, ..., col.line = "black", col.band = "gray",
opacity.band = 0.65, lty = c(1), lwd = c(1), supports = 1000,
plot.range, error = x$error.function, ribbon.on.top = TRUE)object returned by bootstrap.nlsfit
Additional parameters passed to the plotwitherror function.
line colour.
error band colour.
error band opacity.
line type of fitted curve.
line width for fitted curve.
number of supporting points for plotting the function.
vector with two elements c(min,max) defining the
range in which fitline and errorband are plotted. Default is the range of
the data.
Function to compute the standard error in resampling schemes. Default is sd for bootstrap. For other resampling schemes this might need to be changed.
Logical, controls whether the ribbon should be in front of the data points. This is recommended when there are very many data points and a highly constrained model.
No return value.
Other NLS fit functions:
bootstrap.nlsfit(),
parametric.bootstrap.cov(),
parametric.bootstrap(),
parametric.nlsfit.cov(),
parametric.nlsfit(),
predict.bootstrapfit(),
print.bootstrapfit(),
simple.nlsfit(),
summary.bootstrapfit()