plot.wle.lm {wle} | R Documentation |
The plot.wle.lm
function plot a separate graph windows for each roots. In each windows four plots are printed: residuals vs fitted, normal qq plot of the residuals, weighted residuals vs weighted fitted, normal qq plot of the weighted residuals. A summary plot is also printed: in the diagonal, the value of the weigths vs position of the observations for each root; in the upper diagonal residuals vs residuals of two different roots; in the lower diagonal weights vs weights of two different roots.
plot.wle.lm(object, level.weight=0.5, ask = interactive() && .Device != "postscript")
object |
an object of class wle.lm |
level.weight |
value of the weight under which an observations is marked with different color. |
ask |
logical; if TRUE , the user is asked before each plot, see par(ask=.) . |
Claudio Agostinelli
wle.lm
a function for estimating linear models with normal distribution error and normal kernel.
library(wle) # You can find this data set in: # Hawkins, D.M., Bradu, D., and Kass, G.V. (1984). # Location of several outliers in multiple regression data using # elemental sets. Technometrics, 26, 197-208. # data(artificial) result <- wle.lm(y.artificial~x.artificial,boot=40,group=6,num.sol=3) result plot.wle.lm(result)