Summary of assessments of a randomization procedure
Summary of assessments of a randomization procedure
Summary of desirability scores of a randomization procedure
summary(object, ...) ## S4 method for signature 'assessment' summary(object) summary(object, ...) ## S4 method for signature 'desScores' summary(object)
object |
assessment object. |
... |
additional arguments affecting the summary that will be produced. |
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.
Data frame with a summary of the assessment object.
Data frame with a summary of the desirability scores object.
# 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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.