Last data update: 2014.03.03

R: Residuals for semiparametric regression.
residuals.spmR Documentation

Residuals for semiparametric regression.

Description

Extracts residuals from a semiparametric regression fit object.

Usage

## S3 method for class 'spm'
residuals(object,...)

Arguments

object

a fitted spm object as produced by spm().

...

other possible arguments.

Details

Extracts residuals from a semiparametric regression fit object. The residuals are defined to be the difference between the response variable and the fitted values.

Value

The vector of residuals.

Author(s)

M.P. Wand mwand@uow.edu.au (other contributors listed in SemiPar Users' Manual).

References

Ruppert, D., Wand, M.P. and Carroll, R.J. (2003)
Semiparametric Regression Cambridge University Press.
http://stat.tamu.edu/~carroll/semiregbook/

Ganguli, B. and Wand, M.P. (2005)
SemiPar 1.0 Users' Manual.
http://www.uow.edu.au/~mwand/SPmanu.pdf

See Also

spm plot.spm lines.spm predict.spm summary.spm fitted.spm

Examples

library(SemiPar)
data(fossil)
attach(fossil)
fit <- spm(strontium.ratio~f(age))
plot(age,residuals(fit))
abline(0,0)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(SemiPar)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/SemiPar/residuals.spm.Rd_%03d_medium.png", width=480, height=480)
> ### Name: residuals.spm
> ### Title: Residuals for semiparametric regression.
> ### Aliases: residuals.spm
> ### Keywords: models smooth regression
> 
> ### ** Examples
> 
> library(SemiPar)
> data(fossil)
> attach(fossil)
> fit <- spm(strontium.ratio~f(age))
> plot(age,residuals(fit))
> abline(0,0)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>