summary: Summary of assessments of a randomization procedure

In randomizeR: Randomization for Clinical Trials

Summary of assessments of a randomization procedure

Description

Summary of assessments of a randomization procedure

Summary of desirability scores of a randomization procedure

Usage

summary(object, ...)

## S4 method for signature 'assessment'
summary(object)

summary(object, ...)

## S4 method for signature 'desScores'
summary(object)

Arguments

object	assessment object.
...	additional arguments affecting the summary that will be produced.

Details

For each issue the assessment of the sequences is summarized to permit a design-based assessment of the randomization procedure. This approach uses the sequence-wise values of the assessment and the probabilities in order to give an overall summary.

For each issue the desirability score of the sequences is summarized to permit a design-based desirability score of the randomization procedure. This approach uses the sequence-wise values of the desirability and the probabilities in order to give an overall summary.

Value

Data frame with a summary of the assessment object.

Data frame with a summary of the desirability scores object.

Examples

# assess the full set of PBR(4)
seq <- getAllSeq(pbrPar(4))
issue <- corGuess("CS")
A <- assess(seq, issue)
summary(A)

# compute the desirability scores of the full set of PBR(4)
seq <- getAllSeq(pbrPar(4))
issue1 <- corGuess("CS")
issue2 <- corGuess("DS")
A <- assess(seq, issue1, issue2)
d1 <- derFunc(0.5, c(0.1, 0.8), c(1, 1))
d2 <- derFunc(0.1, 0.7, 2)
D <- getDesScores(A, d1, d2, weights = c(5/6, 1/6))
summary(D)

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