# plot.fwdsco: Forward Search Transformation in Linear Regression In forward: Robust Analysis using Forward Search

 plot.fwdsco R Documentation

## Forward Search Transformation in Linear Regression

### Description

This function plots the results of a forward search analysis for Box-Cox transformation of response in linear regression models.

### Usage

```## S3 method for class 'fwdsco'
plot(x, plot.Sco = TRUE, plot.Lik = FALSE, th.Sco = 2.58,
plot.mle = TRUE, ylim = NULL, xlim = NULL, ...)
```

### Arguments

 `x` a `"fwdsco"` object. `plot.Sco` logical, if `TRUE` plots the score test statistic at each step of the forward search for each lambda value. `plot.Lik` logical, if `TRUE` plots the likelihood value at each step of the forward search for each lambda value. `th.Sco` numerical, a value used to draw the confidence interval on the plot of the score test statistic. `plot.mle` logical, if `TRUE` adds a point at the maximum likelihood value for the transformation computed in the final step, i.e. on the full dataset. `ylim` a two component vector for the min and max of the y axis. `xlim` a two component vector for the min and max of the x axis. `...` further arguments passed to or from other methods.

### Author(s)

Originally written for S-Plus by: Kjell Konis kkonis@insightful.com and Marco Riani mriani@unipr.it
Ported to R by Luca Scrucca luca@stat.unipg.it

### References

Atkinson, A.C. and Riani, M. (2000), Robust Diagnostic Regression Analysis, First Edition. New York: Springer, Chapters 2-3.

`fwdsco`, `fwdlm`, `fwdglm`.

### Examples

```## Not run:
data(wool)
mod <- fwdsco(y ~ x1 + x2 + x3, data = wool)
plot(mod, plot.mle=FALSE)
plot(mod, plot.Sco=FALSE, plot.Lik=TRUE)

## End(Not run)
```

forward documentation built on May 9, 2022, 9:05 a.m.