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#######################################################################
##
## Function: summary.anchors.rank()
## Author : Jonathan Wand <wand(at)stanford.edu>
## Created : 2006-10-02
##
## DESCRIPTION : Print frequency of vignette ordering
##
## MODIFIED:
##
#######################################################################
summary.anchors.order <- function(object, top, digits=getOption("digits"),verbose=FALSE,...) {
if (missing(top)) { top <- length(object$freq) }
cat("ANCHORS: SUMMARY OF VIGNETTE ORDERING\n\n")
cat(object$main,"\n\n")
N <- object$N
if (object$ties=="set") {
y0 <- xtabs( ~ object$labels )
r0 <- rownames(y0)
y1 <- xtabs( ~ object$labels + object$ngroup)
m1 <- as.numeric(colnames(y1))[max.col(y1)]
r1 <- rownames(y1)
y2 <- xtabs( ~ object$labels + object$nviol)
m2 <- as.numeric(colnames(y2))[max.col(y2)]
r2 <- rownames(y2)
if ( any(r0 != r1) || any(r0 != r2) ) stop("mismatch in summary\n")
z <- as.data.frame(list(Frequency = as.numeric(y0),
Proportion = as.numeric(y0) / N,
Ndistinct = m1,
Nviolation = m2
)
)
rownames(z) <- r0
z <- z[ order( as.numeric(y0), decreasing=TRUE), ]
} else {
z <- as.data.frame(list(Frequency = object$freq,
Proportion = object$freq / N))
}
cat("Number of cases with at least two distinct vignette responses:",
sum(object$ngroup > 1),"\n")
cat("and with no violations of natural ordering:",
sum(object$ngroup > 1 & object$nviol == 0),"\n")
cat("and with no more than 1 violation of natural ordering:",
sum(object$ngroup > 1 & object$nviol <= 1),"\n")
cat("and with no more than 2 violation of natural ordering:",
sum(object$ngroup > 1 & object$nviol <= 2),"\n")
cat("\n")
if (verbose) {
cat("\n")
Nviolation <- as.character(object$nviol)
Nviolation[ object$nviol > 4 ] <- "5+"
Ngroup <- object$ngroup
print(xtabs(~ Ngroup + Nviolation))
cat("\n")
}
cat("Proportion of cases a vignette (row) is less than another (column):\n")
print(round( object$compare.matrix, digits))
cat("\n")
cat("Upper tri = p_{ij} - p_{ji} (negative values suggest misorderings)\n")
cat("Lower tri = 1 - p_{ij} - p_{ji} (big numbers means many ties)\n")
tt <- idx <- upper.tri(object$compare.matrix)
lidx <- lower.tri(object$compare.matrix)
tt[idx] <- object$compare.matrix[idx] - t(object$compare.matrix)[idx]
tt[lidx] <- 1 - object$compare.matrix[idx] - t(object$compare.matrix)[idx]
diag(tt) <- NA
colnames(tt) <- rownames(object$compare.matrix)
rownames(tt) <- rownames(object$compare.matrix)
print(round(tt,digits))
cat("\n")
cat("Top",top,"orderings (out of",NROW(z),"unique orderings):\n\n")
print(format(z[1:top,],digits=digits))
cat("\n")
return(invisible(z))
}
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