plotinitial: Initial Values plot.

In nlr: Nonlinear Regression Modelling using Robust Methods

Description

Plot the fited curve and data, at a certain point of parameters, a given user parameter value (initial values mostly), or from selfStart slot.

Usage

plotinitial(form, data, start = getInitial(form, data), length.out = 100,...)

Arguments

form	nl.form object of the nonlinear regression model function.
data	List of data set.
start	NULL or list of starting value, include the parameter names.
length.out	Length of the incremented predictor values, to acheive a more smooth curve.
...	extra argument to be passed to plot function, for further developement purposes.

Details

Plot initial can plot any fited curve at any parameter value. Technically it is implemented to test initial values computing by selfStart slot of nl.form object. But user can insert hi/her own starting value or even the final fited value.

Value

Two dimensional Fitted curve and points.

Note

Although the final parameter estimates can be used to fit the curve, but it has less options than plot function.

Author(s)

Hossein Riazoshams, May 2014. Email: [e-mail] URL http://www.riazoshams.com/nlr/

References

Riazoshams H, Midi H, and Ghilagaber G, 2018,. Robust Nonlinear Regression, with Application using R, Joh Wiley and Sons.

Seber, G., A. F. and Wild, C. J. (2003). Nonlinear Regression. New York: John Wiley & Sons, Inc.

See Also

nl.form

Examples

## 
## Plot initial values from selfStart of Scaled Exponential Convex for carbon data
##
  crbdt<-list(xr=nlr::carbon$year,yr=nlr::carbon$co2)
  	plotinitial(form = nlrobj5[[8]],data = crbdt)

nlr documentation built on July 31, 2019, 5:09 p.m.