Last data update: 2014.03.03

R: Residuals for semiparametric regression.
 residuals.spm R 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

`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.
'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
>

```