plot.bootstrapfit: Plot a bootstrap NLS fit

In hadron: Analysis Framework for Monte Carlo Simulation Data in Physics

Plot a bootstrap NLS fit

Description

Plot a bootstrap NLS fit

Usage

## S3 method for class '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,
  rep = FALSE)

Arguments

x	object returned by bootstrap.nlsfit
...	Additional parameters passed to the plotwitherror function.
col.line	line colour.
col.band	error band colour.
opacity.band	error band opacity.
lty	line type of fitted curve.
lwd	line width for fitted curve.
supports	number of supporting points for plotting the function.
plot.range	vector with two elements c(min,max) defining the range in which fitline and errorband are plotted. Default is the range of the data.
error	Function to compute the standard error in resampling schemes. Default is sd for bootstrap. For other resampling schemes this might need to be changed.
ribbon.on.top	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.
rep	If set to TRUE, operate like "replot" in gnuplot. Allows plotting the fit result on top of existing plot.

Value

No return value.

See Also

Other NLS fit functions: bootstrap.nlsfit(), parametric.bootstrap.cov(), parametric.bootstrap(), parametric.nlsfit.cov(), parametric.nlsfit(), predict.bootstrapfit(), print.bootstrapfit(), simple.nlsfit(), summary.bootstrapfit()

hadron documentation built on Sept. 9, 2022, 5:06 p.m.