plotEv: Evaluation plotting

In randomizeR: Randomization for Clinical Trials

Evaluation plotting

Description

Plot of an evaluation object.

Usage

plotEv(evaluation, labels, cols)

Arguments

evaluation	object of type evaluation.
labels	labels used in the plot. Can be NULL.
cols	colors of the lines representing the desirability scores in the plot. Can be NULL.

Value

A plot of an evaluation object

See Also

Other desirability topics: derFunc, evaluate(), getDesScores(), plotDes(), probUnDes()

Examples

# compare Random Allocation Rule to Big Stick Design with respect to different issues
# and their corresponding desirability functions
issue1 <- corGuess("CS")
issue2 <- chronBias(type = "linT", theta = 1/4, method = "exact")
RAR <- getAllSeq(rarPar(4))
BSD <- getAllSeq(bsdPar(4, mti = 2))
A1 <- assess(RAR, issue1, issue2, endp = normEndp(c(0,0), c(1,1)))
A2 <- assess(BSD, issue1, issue2, endp = normEndp(c(0,0), c(1,1)))

d1 <- derFunc(TV = 0.5, 0.75, 2)
d2 <- derFunc(0.05, c(0, 0.1), c(1, 1))
DesScore <- getDesScores(A1, d1, d2, weights = c(5/6, 1/6))
DesScore2 <- getDesScores(A2, d1, d2, weights = c(5/6, 1/6))

E <- evaluate(DesScore, DesScore2)
plotEv(E)

randomizeR documentation built on Sept. 19, 2023, 1:08 a.m.