fdaMethods: Methods for Functional Data Fit

In funcreg: Functional Regression Estimation

Description

These are the plot and print methods which are associated with the objects of class "myfda".

Usage

## S3 method for class 'myfda'
plot(x, which=NULL, addpoints=TRUE, npoints=100,
 add=FALSE, ...)

## S3 method for class 'myfda'
print(x, ...)

## S3 method for class 'myfdaCV'
print(x, digits=4, conv=FALSE, ...)

## S3 method for class 'myfda'
x[i=NULL]

Arguments

x	Object of class "myfda" (see coefEst).
which	Which curve shall we plot
addpoints	If TRUE and which is not null, observations are added to the graph
npoints	The number of points used to plot the curves
digits	The number of digits to be printed
conv	Shall the information about convergence be printed
add	If TRUE, the line associated with "which" is added to the existing graph
i	The selection index.
...	Other argument that is passed to the plot or print methods

Examples

data(GDPv56) 
t <- seq(0,1,len=nrow(GDPv56))

## Linear estimation
res <- coefEst(y=GDPv56, t=t, lam=0.003, k=15)
print(res)
plot(res)
plot(res,which=1:3)

##  Using the operator []
plot(res[1:4])

res2 <- coefEst(y=GDPv56, t=t, lam=0.3, k=15)
plot(res,which=1)
plot(res2,which=1, add=TRUE, col=2, lty=3)

funcreg documentation built on May 2, 2019, 5:45 p.m.