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balanced.pcdesign <- function(nstimuli){
# Create a (completely) balanced paired-comparison design
# Last mod: Sep/30/2009, FW
t <- nstimuli
if(t < 3 | t > 26) stop("nstimuli must lie between 3 and 26")
if(t %% 2){ # t odd, completely balanced design
m1 <- matrix(letters[1:t], t, .5*(t + 1), TRUE)
m2 <- matrix(letters[1:t], t, ncol(m1) - 1, TRUE)
m2 <- as.matrix(m2[nrow(m2):1, ncol(m2):1])
X <- cbind(m1[,1], matrix(paste(m2, m1[,-1], sep=""), nrow(m2), ncol(m2)))
A <- as.character(t(X[,-1]))
}else{ # t even, design is not completely balanced
t <- t - 1
m1 <- matrix(letters[1:t], t, .5*(t + 1), TRUE)
m2 <- matrix(letters[1:t], t, ncol(m1) - 1, TRUE)
m2 <- as.matrix(m2[nrow(m2):1, ncol(m2):1])
fcol <- paste(letters[t + 1], m1[,1], sep="") # first column
idx <- seq(2, nrow(m1), 2)
fcol[idx] <- paste(substr(fcol[idx],2,2), substr(fcol[idx],1,1), sep="")
X <- cbind(fcol, matrix(paste(m2, m1[,-1], sep=""), nrow(m2), ncol(m2)))
A <- as.character(t(X))
}
dimnames(X) <- NULL
B <- paste(substr(A, 2, 2), substr(A, 1, 1), sep="") # reversed list
out <- list(pairs=X, listA=A, listB=B)
out
}
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