plot.fitted.dfrr: Plot dfrr fitted latent functions

In dfrr: Dichotomized Functional Response Regression

Plot dfrr fitted latent functions

Description

Plot a fitted.dfrr object.

Usage

## S3 method for class 'fitted.dfrr'
plot(
  x,
  id = NULL,
  main = NULL,
  col = "blue",
  lwd = 2,
  lty = "solid",
  cex.circle = 1,
  col.circle = "black",
  ylim = NULL,
  ...
)

Arguments

x	the output of the function fitted.dfrr
id	a vector of length one or more containing subject ids to plot. Must be matched with rownames(<response>) or the .obs column of ydata. Defaults to all subject ids.
main	a vector of length one or length(id) containing the title of plots.
col, lwd, lty, ...	graphical parameters passed to plot
cex.circle, col.circle	size and color of circles and filled circles.
ylim	a vector of length two indicating the range of y-axis of the plot.

Details

The output is the plot of latent curves over the observed binary sequence. The binary sequence is illustrated with circles and filled circles for the values of zero and one, respectively.

Value

This function generates plot of fitted curves.

Examples

set.seed(2000)
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)
fitteds<-fitted(dfrr_fit)
plot(fitteds)

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