randomizeR (version 1.4.2)

summary: 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 assessment
summary(object)
summary(object, ...)
# S4 method for desScores
summary(object)

Arguments

object

assessment object.

...

additional arguments affecting the summary that will be produced.

Value

Data frame with a summary of the assessment object.

Data frame with a summary of the desirability scores object.

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.

Examples

# NOT RUN {
# 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)

# }