plot.fwdsco {forward} | R Documentation |
This function plots the results of a forward search analysis for Box-Cox transformation of response in linear regression models.
## S3 method for class 'fwdsco': plot(x, plot.Sco = TRUE, plot.Lik = FALSE, th.Sco = 2.58, plot.mle = TRUE, ylim = NULL, xlim = NULL, ...)
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. |
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
Atkinson, A.C. and Riani, M. (2000), Robust Diagnostic Regression Analysis, First Edition. New York: Springer, Chapters 2-3.
## Not run: data(wool) ## Not run: mod <- fwdsco(y ~ x1 + x2 + x3, data = wool) ## Not run: plot(mod, plot.mle=FALSE) ## Not run: plot(mod, plot.Sco=FALSE, plot.Lik=TRUE)