Summarizes information from fregre.gkam objects.
Summary function for fregre.gkam function.
| -Family used. | |
| -Number or iteration of algorithm and if it has converged. | |
| -Residual and null deviance. | |
| -Number of data. | |
Produces a list of summary information for a fitted fregre.np object for each functional covariate.
| -Call. | |
| -R squared. | |
| -Residual variance. | |
| -Index of possible atypical curves or possible outliers. | |
| -Index of possible influence curves. | |
If draw=TRUE plot:
| -y vs y fitted values. | |
| -Residuals vs fitted values. | |
| -Residual boxplot. | |
| -Quantile-Quantile Plot (qqnorm). | |
| -Plot for a each single model term. | |
If ask=FALSE draw graphs in one window, by
default. If ask=TRUE, draw each graph in a window, waiting to
confirm.
## S3 method for class 'fregre.gkam' summary(object, draw = TRUE, selec = NULL, times.influ = 3, ...)
object |
Estimated by functional regression, |
draw |
=TRUE draw estimation and residuals graphics. |
selec |
Allows the plot for a single model term to be selected for printing. e.g. if you just want the plot for the second smooth term set selec=2. . |
times.influ |
Limit for detect possible infuence curves. |
... |
Further arguments passed to or from other methods. |
Manuel Febrero-Bande and Manuel Oviedo de la Fuente manuel.oviedo@usc.es
Summary function for fregre.gkam.
## Not run:
# Time consuming
data(tecator)
ind<-1:129
ab=tecator$absorp.fdata[ind]
ab2=fdata.deriv(ab,2)
yfat=as.integer(cut(tecator$y[ind,"Fat"],c(0,15,100)))-1
xlist=list("df"=data.frame(yfat),"ab2"=ab2,"ab"=ab)
f<-yfat~ab+ab2
res=fregre.gkam(f,data=xlist,family=binomial("logit"),control=list(maxit=2))
summary(res)
res
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