

#' Summarize multiple paired comparisons
#' 
#' Convert a logical vector or a vector of p-values or a difference or distance
#' matrix into a display identifying the pairs for which the differences were
#' not significantly different or for which the difference exceeded a
#' threshold.
#' 
#' \tabular{ll}{ Package: \tab multcompView\cr Type: \tab Package\cr Version:
#' \tab 0.1-1\cr Date: \tab 2006-08-06\cr License: \tab GPL\cr } Convert a
#' logical vector or a vector of p-values or a difference or distance matrix
#' into either a letter-based display using "multcompLetters" or a graphic
#' roughly like a "T" using "multcompTs" to identify factor levels or similar
#' groupings that are or are not significantly different.  Designed for use in
#' conjunction with the output of functions like TukeyHSD, diststats, simint,
#' simtest, csimint, csimtestmultcomp, friedmanmc, kruskalmcpgirmess.
#' 
#' @name multcompView-package
#' @aliases multcompView-package multcompView
#' @docType package
#' @author Spencer Graves and Hans-Peter Piepho with help from Sundar Dorai-Raj
#' 
#' Maintainer: Spencer Graves <spencer.graves@@prodsyse.com>
#' @references Piepho, Hans-Peter (2004) "An Algorithm for a Letter-Based
#' Representation of All-Pairwise Comparisons", Journal of Computational and
#' Graphical Statistics, 13(2)456-466.
#' 
#' John R. Donaghue (2004) "Implementing Shaffer's multiple comparison
#' procedure for a large number of groups", pp. 1-23 in Benjamini, Bretz and
#' Sarkar (eds) Recent Developments in Multiple Comparison Procedures
#' (Institute of Mathematical Statistics Lecture Notes-Monograph Series vol.
#' 47)
#' @keywords package aplot dplot htest
#' @examples
#' 
#' dif3 <- c(FALSE, FALSE, TRUE)
#' names(dif3) <- c("a-b", "a-c", "b-c")
#' multcompTs(dif3)
#' multcompLetters(dif3)
#' 
#' library(MASS)
#' multcompBoxplot(Postwt~Treat, data=anorexia)
#' 
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