plot.MaxEntContCont: Plots the sensitivity-based and maximum entropy based...

In Surrogate: Evaluation of Surrogate Endpoints in Clinical Trials

Plots the sensitivity-based and maximum entropy based Individual Causal Association when S and T are continuous outcomes in the single-trial setting

Description

This function provides a plot that displays the frequencies or densities of the individual causal association (ICA; rho[Delta]) as identified based on the sensitivity- (using the functions ICA.ContCont) and maximum entropy-based (using the function MaxEntContCont) approaches.

Usage

## S3 method for class 'MaxEntContCont'
plot(x, Type="Freq", Xlab, col, 
Main, Entropy.By.ICA=FALSE, ...)

Arguments

x	An object of class MaxEntContCont. See MaxEntContCont.
Type	The type of plot that is produced. When Type="Freq", the Y-axis shows frequencies of ICA. When Type="Density", the density is shown. Default Type="Freq".
Xlab	The legend of the X-axis of the plot.
col	The color of the bins (frequeny plot) or line (density plot). Default col <- c(8).
Main	The title of the plot.
Entropy.By.ICA	Plot with ICA on Y-axis and entropy on X-axis.
...	Other arguments to be passed to plot()

Author(s)

Wim Van der Elst, Ariel Alonso, Paul Meyvisch, & Geert Molenberghs

References

Add

See Also

ICA.ContCont, MaxEntContCont

Examples

## Not run:  #time-consuming code parts
# Compute ICA for ARMD dataset, using the grid  
# G={-1, -.80, ..., 1} for the undidentifiable correlations

ICA <- ICA.ContCont(T0S0 = 0.769, T1S1 = 0.712, S0S0 = 188.926, 
S1S1 = 132.638, T0T0 = 264.797, T1T1 = 231.771, 
T0T1 = seq(-1, 1, by = 0.2), T0S1 = seq(-1, 1, by = 0.2), 
T1S0 = seq(-1, 1, by = 0.2), S0S1 = seq(-1, 1, by = 0.2))

# Identify the maximum entropy ICA
MaxEnt_ARMD <- MaxEntContCont(x = ICA, S0S0 = 188.926, 
S1S1 = 132.638, T0T0 = 264.797, T1T1 = 231.771)

  # Explore results using summary() and plot() functions
summary(MaxEnt_ARMD)
plot(MaxEnt_ARMD)
plot(MaxEnt_ARMD, Entropy.By.ICA = TRUE)

## End(Not run)

Surrogate documentation built on June 22, 2024, 9:16 a.m.