Nothing
paircomp.jt<- function(x, adjust.method = c("bonferroni", "none"), verbose = TRUE, ...){
if(x$statistic<x$criticalValue) stop(paste("Pairwise comparisons could not be performed since difference is not statistically significant (alpha = ",x$alpha,").",sep = ""))
data<-x$data
dp=as.character(x$formula)
y=data[[dp[[2L]]]]
group=as.factor(data[[dp[[3L]]]])
if (is.character(group)) group <- as.factor(group)
if (length(levels(group))==2) stop("The group variable must have more than two levels to make pairwise comparison.")
alpha <- x$alpha
id <- levels(group)
comb <- t(combn((id), 2))
comb2 <- dim(comb)[1]
adjust.method <- match.arg(adjust.method)
if (adjust.method == "bonferroni"){
alpha_adj=alpha/comb2
method.name = paste("Bonferroni Correction (alpha = ",alpha_adj,")",sep = "")
}
if (adjust.method == "none"){
alpha_adj=alpha
method.name = paste("No Correction (alpha = ",alpha_adj,")",sep = "")
}
statistics <- NULL
cvs <- NULL
for (i in 1:comb2){
data_sub <- data[(group == comb[i,1])|(group == comb[i,2]),]
data_sub[[dp[[3L]]]] <- factor(data_sub[[dp[[3L]]]])
if (x$method == "James Second Order Test") {
statistics <- c(statistics , james.test(x$formula,data_sub,alpha=alpha_adj,verbose=F)$statistic)
cvs <- c(cvs , james.test(x$formula,data_sub, alpha=alpha_adj,verbose=F)$criticalValue)
}
}
store = data.frame(matrix(NA, nrow = comb2, ncol = 5))
store$X1 = comb[,1]
store$X2 = comb[,2]
store$X3 = statistics
store$X4 = cvs
store$X5 = ifelse(store$X3 < store$X4 , "Not reject", "Reject")
colnames(store) = c("Level (a)", "Level (b)", "statistic","criticalValue", " No difference")
if (verbose) {
cat("\n", "",method.name, "\n", sep = " ")
cat("----------------------------------------------------------------", "\n", sep = " ")
print(store)
cat("----------------------------------------------------------------", "\n\n", sep = " ")
}
invisible(store)
}
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