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####################################################################################################################################
### Filename: S3methods.R
### Description: S3 methods for class 'WMWssp' returned from functions from file samplesize.R
###
###
###
###
####################################################################################################################################
print.WMWssp <- function(x, ...){
cat("Wilcoxon-Mann-Whitney Sample Size Calculation\n \n")
cat("Total sample size needed: ")
cat(x$N, paste("(n_1 = ", ceiling(x$N*x$t), ", n_2 = ", ceiling(x$N*(1-x$t)), ")", sep = ""))
cat("\n")
call <- x$call
temp <- strsplit(as.character(x$call), "::")
if(length(temp[[1]]) > 1) {
call <- temp[[1]][2]
}
if(as.character(call) %in% c("WMWssp_minimize", "WMWssp_maximize") ) {
cat("Optimal allocation rate to the first group: ")
cat(x$t)
cat("\n")
} else {
cat("Allocation rate to the first group: ")
cat(x$t)
cat("\n")
}
if(x$simulation >= 0){
cat("Simulated Power: ")
cat(x$simulation)
cat("\n")
}
if(as.character(call) %in% c("WMWssp_maximize")){
cat("Maximal Power: ")
cat(x$power)
cat("\n")
}
cat("\nUse 'summary' for more details.")
}
summary.WMWssp <- function(object, ...){
cat("Wilcoxon-Mann-Whitney Sample Size Calculation\n \n")
cat("Summary\n")
cat("Call: ")
cat(as.character(object$call))
cat("\n")
cat("Type-I error (two-sided): ")
cat(object$alpha)
cat("\n")
if(as.character(object$call) != "WMWssp_maximize"){
cat("Power: ")
cat(object$power)
cat("\n")
}
if(as.character(object$call) == "WMWssp_maximize"){
cat("Sample size: ")
cat(object$N)
cat("\n")
}
cat("\n")
print(object$result)
}
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