plot.residuals.dfrr: QQ-plot for dfrr residuals

In dfrr: Dichotomized Functional Response Regression

QQ-plot for dfrr residuals

Description

The output gives the qq-plot of estimated measurment error.

Usage

## S3 method for class 'residuals.dfrr'
plot(x, ...)

## S3 method for class 'dfrr'
qq(x, ...)

Arguments

x	a residuals.dfrr-object.
...	graphical parameters passed to car::qqPlot

Value

This function generates the QQ-plot of residuals.

Examples

N<-50;M<-24

X<-rnorm(N,mean=0)
time<-seq(0,1,length.out=M)
Y<-simulate_simple_dfrr(beta0=function(t){cos(pi*t+pi)},
                        beta1=function(t){2*t},
                        X=X,time=time)

#The argument T_E indicates the number of EM algorithm.
#T_E is set to 1 for the demonstration purpose only.
#Remove this argument for the purpose of converging the EM algorithm.
dfrr_fit<-dfrr(Y~X,yind=time,T_E=1)
resid<-residuals(dfrr_fit)
plot(resid)
# We can also use the qq function to draw the QQ-plot.

dfrr documentation built on May 31, 2023, 5:32 p.m.