fda.usc (version 1.5.0)

summary.fregre.gkam: Summarizes information from fregre.gkam objects.

Description

Summary function for fregre.gkam function.

Usage

# S3 method for fregre.gkam
summary(object,draw=TRUE,selec = NULL, times.influ = 3,…)
# S3 method for fregre.gkam
print(x, digits = max(3, getOption("digits") - 3),…)

Arguments

object,x

Estimated by functional regression, fregre.fd object.

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.

digits

a non-null value for digits specifies the minimum number of significant digits to be printed in values. The default, NULL, uses getOption(digits).

…

Further arguments passed to or from other methods.

Value

object

Object.

Details

	-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.

See Also

Summary function for fregre.gkam.

Examples

# 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


# }