nl.robmeas: Class '"nl.robmeas"'

In nlr: Nonlinear Regression Modelling using Robust Methods

Description

Outlier detection measure object.

Objects from the Class

Objects can be created by calls of the form new("nl.robmeas", ...).

Slots

measure:

Object of class "numeric" vector of statistics measure for each data points.

cutofpoint:

Object of class "numeric" cut of point for the measure.

name:

Object of class "character" name of the measure.

Methods

$

signature(x = "nl.robmeas"): access the slots.

plot

signature(x = "nl.robmeas", y = "ANY"): plot sequence of measure and cut of point line. Usually if the value is more than cut of point the data point might be outlier or influence observation. In contrast plot.atyps function is to plot "nl.robmeas" object for multiple purpose. If more than such objects are stored in a list the plot will iterate on all cells and draw all. It can be called as:

plot.atyps(x,...) #where x is lis that include more than one "nl.robmeas" object.

Note

nl.robmeas usually generate from atypical method to calculate several measures for identifying outlier or influential observations.

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.

See Also

nlout, nl.fitt

Examples

showClass("nl.robmeas")

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