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#' Summarizing Two-sample Goodness-of-fit Permutation Test under Covariate-adaptive Randomization
#'
#' \code{summary} method for class \code{"prepivot.ks.permtest"}
#'
#' @method summary prepivot.ks.permtest
#' @param object an object of class \code{"prepivot.ks.permtest"}, the result of calling \code{\link{prepivot.ks.permtest}}
#' @param digits number of digits to display
#' @param ... unused
#' @return \code{summary.prepivot.ks.permtest} returns an object of \link{class} "\code{summary.prepivot.ks.permtest}" which has the following components
#' \item{results}{Matrix with the Testing Problem, Sample Sizes, Number of Permutations, Number of Bootstrap samples, Observed test Statistic, Critical value and P-value.}
#' @author Maurcio Olivares
#' @export
summary.prepivot.ks.permtest<-function(object, ..., digits=max(3, getOption("digits") - 3)){
cat("\n")
cat("***********************************************\n")
cat("** Two-sample Goodness-of-fit testing **\n")
cat("** under Covariate-adaptive Randomization **\n")
cat("***********************************************\n")
cat("\n")
cat("* ---------------------------------------------------------- *\n")
cat("* Testing Problem: testing equality of two distributions *\n")
cat("* under covariate-adaptive randomization using a permutation *\n")
cat("* test based on a prepivoted Kolmogorov-Smirnov statistic *\n")
cat("\n")
cat(paste("Total Number of Observations (Pooled Sample): ", object$N ,sep=""))
cat("\n")
z <- as.data.frame(cbind(c("Treatment", "Control"),object$sample_sizes))
colnames(z)<-c("Group","Obs")
print(z,row.names=FALSE)
cat("\n")
cat(paste("Number of Permutations: ",object$n_perm,sep=""))
cat("\n")
cat(paste("Number of Bootstrap samples: ",object$B,sep=""))
cat("\n\n")
cat("* ----------------*\n")
cat("* H0: F1 = F0 *\n")
cat("* ----------------*\n\n")
cat(paste("Test Statistic: ", round(object$T.obs,3),sep=""))
cat("\n")
cat(paste("Critical Value: "),round(object$cv,3), sep="")
cat("\n")
cat(paste("P-Value: ", round(object$pvalue,3) ,sep=""))
cat("\n")
}
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