Nothing
R/print.seqtest.R
In seqtest: Sequential Triangular Test
Defines functions
print.seqtest
Documented in
print.seqtest
#' Print seqtest
#'
#' This function prints the \code{seqtest} object
#'
#' @param x \code{seqtest} object.
#' @param ... further arguments passed to or from other methods.
#'
#' @author
#' Takuya Yanagida \email{takuya.yanagida@@univie.ac.at}
#'
#' @seealso
#' \code{\link{seqtest.mean}}, \code{\link{seqtest.prop}}, \code{\link{seqtest.cor}}, \code{\link{plot.seqtest}}, \code{\link{descript}}
#'
#' @references
#' Rasch, D., Pilz, J., Verdooren, L. R., & Gebhardt, G. (2011).
#' \emph{Optimal experimental design with R}. Boca Raton: Chapman & Hall/CRC.
#'
#' Rasch, D., Kubinger, K. D., & Yanagida, T. (2011). \emph{Statistics in psychology - Using R and SPSS}.
#' New York: John Wiley & Sons.
#'
#' Schneider, B., Rasch, D., Kubinger, K. D., & Yanagida, T. (2015).
#' A Sequential triangular test of a correlation coefficient's null-hypothesis: 0 \eqn{< \rho \le \rho}0.
#' \emph{Statistical Papers, 56}, 689-699.
#'
#' @export
#'
#' @examples
#'
#' #--------------------------------------
#' # Sequential triangular test for the arithmetic mean in one sample
#'
#' seq.obj <- seqtest.mean(56, mu = 50, theta = 0.5,
#' alpha = 0.05, beta = 0.2, output = FALSE)
#'
#' print(seq.obj)
#'
#' #--------------------------------------
#' # Sequential triangular test for the proportion in one sample
#'
#' seq.obj <- seqtest.prop(c(1, 1, 0, 1), pi = 0.5, delta = 0.2,
#' alpha = 0.05, beta = 0.2, output = FALSE)
#'
#' print(seq.obj)
#'
#' #--------------------------------------
#' # Sequential triangular test for Pearson's correlation coefficient
#'
#' seq.obj <- seqtest.cor(0.46, k = 14, rho = 0.3, delta = 0.2,
#' alpha = 0.05, beta = 0.2, output = FALSE)
#'
#' print(seq.obj)
print.seqtest <- function(x, ...) {
#-----------------------------------------------------------------------------------
# Main function
#...............................
# mean.seqtest
if (x$type == "mean") {
cat("\nSequential triangular test for the arithmetic mean in",
ifelse(x$spec$sample == "one.sample", "one sample", "two samples"), "\n\n")
# one-sample
if (x$spec$sample == "one.sample") {
if (x$spec$alternative == "two.sided") {
cat(" H0: mu =", x$spec$mu, " versus H1: mu !=", x$spec$mu, "\n")
} else {
if (x$spec$alternative == "less") {
cat(" H0: mu >=", x$spec$mu, " versus H1: mu <", x$spec$mu, "\n")
} else {
cat(" H0: mu <=", x$spec$mu, " versus H1: mu >", x$spec$mu, "\n")
}
}
# two-sample
} else {
if (x$spec$alternative == "two.sided") {
cat(" H0: mu.1 = mu.2 versus H1: mu.1 != mu.2\n")
} else {
if (x$spec$alternative == "less") {
cat(" H0: mu.1 >= mu.2 versus H1: mu.1 < mu.2\n")
} else {
cat(" H0: mu.1 <= mu.2 versus H1: mu.1 > mu.2\n")
}
}
}
###
if (x$spec$variance == "known") {
cat(" alpha:", x$spec$alpha, " beta:", x$spec$beta, " delta:", x$spec$delta, " sigma:", x$spec$sigma, "\n\n")
} else {
cat(" alpha:", x$spec$alpha, " beta:", x$spec$beta, " theta:", x$spec$theta, "\n\n")
}
}
#...............................
# prop.seqtest
if (x$type == "prop") {
cat("\nSequential triangular test for the proportion in",
ifelse(x$spec$sample == "one.sample", "one sample", "two samples"), "\n\n")
# one-sample
if (x$spec$sample == "one.sample") {
if (x$spec$alternative == "two.sided") {
cat(" H0: pi =", x$spec$p, " versus H1: pi !=", x$spec$p, "\n")
} else {
if (x$spec$alternative == "less") {
cat(" H0: pi >=", x$spec$p, " versus H1: pi <", x$spec$p, "\n")
} else {
cat(" H0: pi <=", x$spec$p, " versus H1: pi >", x$spec$p, "\n")
}
}
# two-sample
} else {
if (x$spec$alternative == "two.sided") {
cat(" H0: pi.1 = pi.2 =", x$spec$p, " versus H1: pi.1 != pi.2\n")
} else {
if (x$spec$alternative == "less") {
cat(" H0: pi.1 >= pi.2 versus H1: pi.1 < pi.2\n")
} else {
cat(" H0: pi.1 <= pi.2 versus H1: pi.1 > pi.2\n")
}
}
}
###
cat(" alpha:", x$spec$alpha, " beta:", x$spec$beta, " delta:", x$spec$delta, "\n\n")
}
#...............................
# cor.seqtest
if (x$type == "cor") {
cat("\nSequential triangular test for Pearson's correlation coefficient\n\n")
if (x$spec$alternative == "two.sided") {
cat(" H0: rho =", x$spec$rho, " versus H1: rho !=", x$spec$rho, "\n")
} else {
if (x$spec$alternative == "less") {
cat(" H0: rho >=", x$spec$rho, " versus H1: rho <", x$spec$rho, "\n")
} else {
cat(" H0: rho <=", x$spec$rho, " versus H1: rho >", x$spec$rho, "\n")
}
}
###
cat(" alpha:", x$spec$alpha, " beta:", x$spec$beta, " delta:", x$spec$delta, "\n\n")
}
###
V.m.print <- ifelse(!is.na(x$res$V.m[x$res$step]), formatC(x$res$V.m[x$res$step], digits = 3, format = "f"), NA)
Z.m.print <- ifelse(!is.na(x$res$Z.m[x$res$step]), formatC(x$res$Z.m[x$res$step], digits = 3, format = "f"), NA)
if (!is.na(V.m.print) & !is.na(V.m.print)) {
# two-sided
if (x$spec$alternative == "two.sided") {
if (x$res$V.m[x$res$step] < x$tri$intersec) {
x.r <- range(c(-x$tri$a1 + 3 * x$tri$b1 * x$res$V.m[x$res$step],
-x$tri$a2 + 3 * x$tri$b2 * x$res$V.m[x$res$step],
x$tri$a1 + x$tri$b1 * x$res$V.m[x$res$step],
x$tri$a2 + x$tri$b2 * x$res$V.m[x$res$step]))
cat(" Step", x$res$step, "\n",
" V.m: ", V.m.print, paste(rep(" ", times = 10 - nchar(V.m.print)), collapse = ""),
"Z.m:", paste(rep(" ", times = 9 - nchar(Z.m.print)), collapse = ""), Z.m.print, "\n",
paste0(" Continuation range | V.m: [",
formatC(x.r[which.min(x.r)], digits = 3, format = "f"), ", ",
formatC(x.r[which.max(x.r)], digits = 3, format = "f"), "]\n\n"))
} else {
if (all(x$res$V.m[x$res$step] < x$tri$V.max)) {
x1.1 <- formatC(-x$tri$a1 + 3 * x$tri$b1 * x$res$V.m[x$res$step], digits = 3, format = "f")
x1.2 <- formatC(-x$tri$a2 + 3 * x$tri$b2 * x$res$V.m[x$res$step], digits = 3, format = "f")
x2.1 <- formatC(x$tri$a1 + x$tri$b1 * x$res$V.m[x$res$step], digits = 3, format = "f")
x2.2 <- formatC(x$tri$a2 + x$tri$b2 * x$res$V.m[x$res$step], digits = 3, format = "f")
width.1 <- max(c(nchar(c(x1.1, x2.1)[which.min(c(x1.1, x2.1))]), nchar(formatC(c(x1.2, x2.2)[which.min(c(x1.2, x2.2))]))))
width.2 <- max(c(nchar(c(x1.1, x2.1)[which.max(c(x1.1, x2.1))]), nchar(formatC(c(x1.2, x2.2)[which.max(c(x1.2, x2.2))]))))
cat(" Step", x$res$step, "\n",
" V.m: ", V.m.print, paste(rep(" ", times = 10 - nchar(V.m.print)), collapse = ""),
"Z.m:", paste(rep(" ", times = 10 - nchar(Z.m.print)), collapse = ""), Z.m.print, "\n",
paste0(" Continuation range | V.m: [",
formatC(c(x1.1, x2.1)[which.min(c(x1.1, x2.1))], width = width.1, format = "f"), ", ",
formatC(c(x1.1, x2.1)[which.max(c(x1.1, x2.1))], width = width.2, format = "f"), "]\n",
" [",
formatC(c(x1.2, x2.2)[which.min(c(x1.2, x2.2))], width = width.1, format = "f"), ", ",
formatC(c(x1.2, x2.2)[which.max(c(x1.2, x2.2))], width = width.2, format = "f"), "]\n\n"))
} else {
if (x$res$V.m[x$res$step] < x$tri$V.max[1]) {
x1.1 <- -x$tri$a1 + 3 * x$tri$b1 * x$res$V.m[x$res$step]
x2.1 <- x$tri$a1 + x$tri$b1 * x$res$V.m[x$res$step]
cat(" Step", x$res$step, "\n",
" V.m: ", V.m.print, paste(rep(" ", times = 10 - nchar(V.m.print)), collapse = ""),
"Z.m:", paste(rep(" ", times = 9 - nchar(Z.m.print)), collapse = ""), Z.m.print, "\n",
paste0(" Continuation range | V.m: [",
formatC(c(x1.1, x2.1)[which.min(c(x1.1, x2.1))], digits = 3, format = "f"), ", ",
formatC(c(x1.1, x2.1)[which.max(c(x1.1, x2.1))], digits = 3, format = "f"), "]\n\n"))
} else {
x1.2 <- -x$tri$a2 + 3 * x$tri$b2 * x$res$V.m[x$res$step]
x2.2 <- x$tri$a2 + x$tri$b2 * x$res$V.m[x$res$step]
cat(" Step", x$res$step, "\n",
" V.m: ", V.m.print, paste(rep(" ", times = 10 - nchar(V.m.print)), collapse = ""),
"Z.m:", paste(rep(" ", times = 9 - nchar(Z.m.print)), collapse = ""), Z.m.print, "\n",
paste0(" Continuation range | V.m: [",
formatC(c(x1.2, x2.2)[which.min(c(x1.2, x2.2))], digits = 3, format = "f"), ", ",
formatC(c(x1.2, x2.2)[which.max(c(x1.2, x2.2))], digits = 3, format = "f"), "]\n\n"))
}
}
}
# one-sided
} else {
x1 <- -x$tri$a + 3 * x$tri$b * x$res$V.m[x$res$step]
x2 <- x$tri$a + x$tri$b * x$res$V.m[x$res$step]
cat(" Step", x$res$step, "\n",
" V.m: ", V.m.print, paste(rep(" ", times = 10 - nchar(V.m.print)), collapse = ""),
"Z.m:", paste(rep(" ", times = 9 - nchar(Z.m.print)), collapse = ""), Z.m.print, "\n",
paste0(" Continuation range | V.m: [",
formatC(c(x1, x2)[which.min(c(x1, x2))], digits = 3, format = "f"), ", ",
formatC(c(x1, x2)[which.max(c(x1, x2))], digits = 3, format = "f"), "]\n\n"))
}
} else {
cat(" Step", x$res$step, "\n",
" V.m: NA Z.m: NA\n",
" Continuation range | V.m: [NA, NA]\n\n")
}
###
if (x$type %in% c("mean", "prop")) {
if (x$res$decision == "continue") {
cat(" Test not finished, continue by adding data via update() function\n")
# one-sample
if (x$spec$sample == "one.sample") {
cat(" Current sample size:", x$dat$n, "\n\n")
# two-sample
} else {
cat(paste0(" Current sample size for x:", x$dat$n.1, "\n",
" y:", x$dat$n.2, "\n\n"))
}
} else {
cat(" Test finished:", ifelse(x$res$decision == "H0", "Keep null hypothesis (H0)", "Accept alternative hypothesis (H1)"), "\n")
# one-sample
if (x$spec$sample == "one.sample") {
cat(" Final sample size:", x$dat$n, "\n\n")
# two-sample
} else {
cat(paste0(" Final sample size for x:", x$dat$n.1, "\n",
" y:", x$dat$n.2, "\n\n"))
}
}
} else {
if (x$res$decision == "continue") {
cat(" Test not finished, continue by adding data via update()\n",
" Current sample size for", x$res$step,
ifelse(x$res$step == 1, "correlation coefficient:", "correlation coefficients:"),
x$res$step, "x", x$spec$k, "=", x$res$step*x$spec$k, "\n\n")
} else {
cat(" Test finished:", ifelse(x$res$decision == "H0", "Keep null hypothesis (H0)", "Accept alternative hypothesis (H1)"), "\n",
" Final sample size for", x$res$step, ifelse(x$res$step == 1, "correlation coefficient:", "correlation coefficients:"),
x$res$step, "x", x$spec$k, "=", x$res$step * x$spec$k, "\n\n")
}
}
}
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Defines functions print.seqtest
Documented in print.seqtest
#' Print seqtest
#'
#' This function prints the \code{seqtest} object
#'
#' @param x \code{seqtest} object.
#' @param ... further arguments passed to or from other methods.
#'
#' @author
#' Takuya Yanagida \email{takuya.yanagida@@univie.ac.at}
#'
#' @seealso
#' \code{\link{seqtest.mean}}, \code{\link{seqtest.prop}}, \code{\link{seqtest.cor}}, \code{\link{plot.seqtest}}, \code{\link{descript}}
#'
#' @references
#' Rasch, D., Pilz, J., Verdooren, L. R., & Gebhardt, G. (2011).
#' \emph{Optimal experimental design with R}. Boca Raton: Chapman & Hall/CRC.
#'
#' Rasch, D., Kubinger, K. D., & Yanagida, T. (2011). \emph{Statistics in psychology - Using R and SPSS}.
#' New York: John Wiley & Sons.
#'
#' Schneider, B., Rasch, D., Kubinger, K. D., & Yanagida, T. (2015).
#' A Sequential triangular test of a correlation coefficient's null-hypothesis: 0 \eqn{< \rho \le \rho}0.
#' \emph{Statistical Papers, 56}, 689-699.
#'
#' @export
#'
#' @examples
#'
#' #--------------------------------------
#' # Sequential triangular test for the arithmetic mean in one sample
#'
#' seq.obj <- seqtest.mean(56, mu = 50, theta = 0.5,
#' alpha = 0.05, beta = 0.2, output = FALSE)
#'
#' print(seq.obj)
#'
#' #--------------------------------------
#' # Sequential triangular test for the proportion in one sample
#'
#' seq.obj <- seqtest.prop(c(1, 1, 0, 1), pi = 0.5, delta = 0.2,
#' alpha = 0.05, beta = 0.2, output = FALSE)
#'
#' print(seq.obj)
#'
#' #--------------------------------------
#' # Sequential triangular test for Pearson's correlation coefficient
#'
#' seq.obj <- seqtest.cor(0.46, k = 14, rho = 0.3, delta = 0.2,
#' alpha = 0.05, beta = 0.2, output = FALSE)
#'
#' print(seq.obj)
print.seqtest <- function(x, ...) {
#-----------------------------------------------------------------------------------
# Main function
#...............................
# mean.seqtest
if (x$type == "mean") {
cat("\nSequential triangular test for the arithmetic mean in",
ifelse(x$spec$sample == "one.sample", "one sample", "two samples"), "\n\n")
# one-sample
if (x$spec$sample == "one.sample") {
if (x$spec$alternative == "two.sided") {
cat(" H0: mu =", x$spec$mu, " versus H1: mu !=", x$spec$mu, "\n")
} else {
if (x$spec$alternative == "less") {
cat(" H0: mu >=", x$spec$mu, " versus H1: mu <", x$spec$mu, "\n")
} else {
cat(" H0: mu <=", x$spec$mu, " versus H1: mu >", x$spec$mu, "\n")
}
}
# two-sample
} else {
if (x$spec$alternative == "two.sided") {
cat(" H0: mu.1 = mu.2 versus H1: mu.1 != mu.2\n")
} else {
if (x$spec$alternative == "less") {
cat(" H0: mu.1 >= mu.2 versus H1: mu.1 < mu.2\n")
} else {
cat(" H0: mu.1 <= mu.2 versus H1: mu.1 > mu.2\n")
}
}
}
###
if (x$spec$variance == "known") {
cat(" alpha:", x$spec$alpha, " beta:", x$spec$beta, " delta:", x$spec$delta, " sigma:", x$spec$sigma, "\n\n")
} else {
cat(" alpha:", x$spec$alpha, " beta:", x$spec$beta, " theta:", x$spec$theta, "\n\n")
}
}
#...............................
# prop.seqtest
if (x$type == "prop") {
cat("\nSequential triangular test for the proportion in",
ifelse(x$spec$sample == "one.sample", "one sample", "two samples"), "\n\n")
# one-sample
if (x$spec$sample == "one.sample") {
if (x$spec$alternative == "two.sided") {
cat(" H0: pi =", x$spec$p, " versus H1: pi !=", x$spec$p, "\n")
} else {
if (x$spec$alternative == "less") {
cat(" H0: pi >=", x$spec$p, " versus H1: pi <", x$spec$p, "\n")
} else {
cat(" H0: pi <=", x$spec$p, " versus H1: pi >", x$spec$p, "\n")
}
}
# two-sample
} else {
if (x$spec$alternative == "two.sided") {
cat(" H0: pi.1 = pi.2 =", x$spec$p, " versus H1: pi.1 != pi.2\n")
} else {
if (x$spec$alternative == "less") {
cat(" H0: pi.1 >= pi.2 versus H1: pi.1 < pi.2\n")
} else {
cat(" H0: pi.1 <= pi.2 versus H1: pi.1 > pi.2\n")
}
}
}
###
cat(" alpha:", x$spec$alpha, " beta:", x$spec$beta, " delta:", x$spec$delta, "\n\n")
}
#...............................
# cor.seqtest
if (x$type == "cor") {
cat("\nSequential triangular test for Pearson's correlation coefficient\n\n")
if (x$spec$alternative == "two.sided") {
cat(" H0: rho =", x$spec$rho, " versus H1: rho !=", x$spec$rho, "\n")
} else {
if (x$spec$alternative == "less") {
cat(" H0: rho >=", x$spec$rho, " versus H1: rho <", x$spec$rho, "\n")
} else {
cat(" H0: rho <=", x$spec$rho, " versus H1: rho >", x$spec$rho, "\n")
}
}
###
cat(" alpha:", x$spec$alpha, " beta:", x$spec$beta, " delta:", x$spec$delta, "\n\n")
}
###
V.m.print <- ifelse(!is.na(x$res$V.m[x$res$step]), formatC(x$res$V.m[x$res$step], digits = 3, format = "f"), NA)
Z.m.print <- ifelse(!is.na(x$res$Z.m[x$res$step]), formatC(x$res$Z.m[x$res$step], digits = 3, format = "f"), NA)
if (!is.na(V.m.print) & !is.na(V.m.print)) {
# two-sided
if (x$spec$alternative == "two.sided") {
if (x$res$V.m[x$res$step] < x$tri$intersec) {
x.r <- range(c(-x$tri$a1 + 3 * x$tri$b1 * x$res$V.m[x$res$step],
-x$tri$a2 + 3 * x$tri$b2 * x$res$V.m[x$res$step],
x$tri$a1 + x$tri$b1 * x$res$V.m[x$res$step],
x$tri$a2 + x$tri$b2 * x$res$V.m[x$res$step]))
cat(" Step", x$res$step, "\n",
" V.m: ", V.m.print, paste(rep(" ", times = 10 - nchar(V.m.print)), collapse = ""),
"Z.m:", paste(rep(" ", times = 9 - nchar(Z.m.print)), collapse = ""), Z.m.print, "\n",
paste0(" Continuation range | V.m: [",
formatC(x.r[which.min(x.r)], digits = 3, format = "f"), ", ",
formatC(x.r[which.max(x.r)], digits = 3, format = "f"), "]\n\n"))
} else {
if (all(x$res$V.m[x$res$step] < x$tri$V.max)) {
x1.1 <- formatC(-x$tri$a1 + 3 * x$tri$b1 * x$res$V.m[x$res$step], digits = 3, format = "f")
x1.2 <- formatC(-x$tri$a2 + 3 * x$tri$b2 * x$res$V.m[x$res$step], digits = 3, format = "f")
x2.1 <- formatC(x$tri$a1 + x$tri$b1 * x$res$V.m[x$res$step], digits = 3, format = "f")
x2.2 <- formatC(x$tri$a2 + x$tri$b2 * x$res$V.m[x$res$step], digits = 3, format = "f")
width.1 <- max(c(nchar(c(x1.1, x2.1)[which.min(c(x1.1, x2.1))]), nchar(formatC(c(x1.2, x2.2)[which.min(c(x1.2, x2.2))]))))
width.2 <- max(c(nchar(c(x1.1, x2.1)[which.max(c(x1.1, x2.1))]), nchar(formatC(c(x1.2, x2.2)[which.max(c(x1.2, x2.2))]))))
cat(" Step", x$res$step, "\n",
" V.m: ", V.m.print, paste(rep(" ", times = 10 - nchar(V.m.print)), collapse = ""),
"Z.m:", paste(rep(" ", times = 10 - nchar(Z.m.print)), collapse = ""), Z.m.print, "\n",
paste0(" Continuation range | V.m: [",
formatC(c(x1.1, x2.1)[which.min(c(x1.1, x2.1))], width = width.1, format = "f"), ", ",
formatC(c(x1.1, x2.1)[which.max(c(x1.1, x2.1))], width = width.2, format = "f"), "]\n",
" [",
formatC(c(x1.2, x2.2)[which.min(c(x1.2, x2.2))], width = width.1, format = "f"), ", ",
formatC(c(x1.2, x2.2)[which.max(c(x1.2, x2.2))], width = width.2, format = "f"), "]\n\n"))
} else {
if (x$res$V.m[x$res$step] < x$tri$V.max[1]) {
x1.1 <- -x$tri$a1 + 3 * x$tri$b1 * x$res$V.m[x$res$step]
x2.1 <- x$tri$a1 + x$tri$b1 * x$res$V.m[x$res$step]
cat(" Step", x$res$step, "\n",
" V.m: ", V.m.print, paste(rep(" ", times = 10 - nchar(V.m.print)), collapse = ""),
"Z.m:", paste(rep(" ", times = 9 - nchar(Z.m.print)), collapse = ""), Z.m.print, "\n",
paste0(" Continuation range | V.m: [",
formatC(c(x1.1, x2.1)[which.min(c(x1.1, x2.1))], digits = 3, format = "f"), ", ",
formatC(c(x1.1, x2.1)[which.max(c(x1.1, x2.1))], digits = 3, format = "f"), "]\n\n"))
} else {
x1.2 <- -x$tri$a2 + 3 * x$tri$b2 * x$res$V.m[x$res$step]
x2.2 <- x$tri$a2 + x$tri$b2 * x$res$V.m[x$res$step]
cat(" Step", x$res$step, "\n",
" V.m: ", V.m.print, paste(rep(" ", times = 10 - nchar(V.m.print)), collapse = ""),
"Z.m:", paste(rep(" ", times = 9 - nchar(Z.m.print)), collapse = ""), Z.m.print, "\n",
paste0(" Continuation range | V.m: [",
formatC(c(x1.2, x2.2)[which.min(c(x1.2, x2.2))], digits = 3, format = "f"), ", ",
formatC(c(x1.2, x2.2)[which.max(c(x1.2, x2.2))], digits = 3, format = "f"), "]\n\n"))
}
}
}
# one-sided
} else {
x1 <- -x$tri$a + 3 * x$tri$b * x$res$V.m[x$res$step]
x2 <- x$tri$a + x$tri$b * x$res$V.m[x$res$step]
cat(" Step", x$res$step, "\n",
" V.m: ", V.m.print, paste(rep(" ", times = 10 - nchar(V.m.print)), collapse = ""),
"Z.m:", paste(rep(" ", times = 9 - nchar(Z.m.print)), collapse = ""), Z.m.print, "\n",
paste0(" Continuation range | V.m: [",
formatC(c(x1, x2)[which.min(c(x1, x2))], digits = 3, format = "f"), ", ",
formatC(c(x1, x2)[which.max(c(x1, x2))], digits = 3, format = "f"), "]\n\n"))
}
} else {
cat(" Step", x$res$step, "\n",
" V.m: NA Z.m: NA\n",
" Continuation range | V.m: [NA, NA]\n\n")
}
###
if (x$type %in% c("mean", "prop")) {
if (x$res$decision == "continue") {
cat(" Test not finished, continue by adding data via update() function\n")
# one-sample
if (x$spec$sample == "one.sample") {
cat(" Current sample size:", x$dat$n, "\n\n")
# two-sample
} else {
cat(paste0(" Current sample size for x:", x$dat$n.1, "\n",
" y:", x$dat$n.2, "\n\n"))
}
} else {
cat(" Test finished:", ifelse(x$res$decision == "H0", "Keep null hypothesis (H0)", "Accept alternative hypothesis (H1)"), "\n")
# one-sample
if (x$spec$sample == "one.sample") {
cat(" Final sample size:", x$dat$n, "\n\n")
# two-sample
} else {
cat(paste0(" Final sample size for x:", x$dat$n.1, "\n",
" y:", x$dat$n.2, "\n\n"))
}
}
} else {
if (x$res$decision == "continue") {
cat(" Test not finished, continue by adding data via update()\n",
" Current sample size for", x$res$step,
ifelse(x$res$step == 1, "correlation coefficient:", "correlation coefficients:"),
x$res$step, "x", x$spec$k, "=", x$res$step*x$spec$k, "\n\n")
} else {
cat(" Test finished:", ifelse(x$res$decision == "H0", "Keep null hypothesis (H0)", "Accept alternative hypothesis (H1)"), "\n",
" Final sample size for", x$res$step, ifelse(x$res$step == 1, "correlation coefficient:", "correlation coefficients:"),
x$res$step, "x", x$spec$k, "=", x$res$step * x$spec$k, "\n\n")
}
}
}
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