#' @describeIn tau_u Print results
#' @order 2
#' @inheritParams print.sc
#' @param x Object returned from [tau_u()].
#' @param complete Print all parameters.
#' @param select Character vector with name of variables to be included. When
#' the vector is named, variables are renamed appropriately.
#' @param nice_p If TRUE, p-values are printed in publication friendly form.
#' @export
#'
print.sc_tauu <- function(x,
complete = FALSE,
digits = "auto",
select = c(
"Tau", "CI lower", "CI upper", "SD_S", "Z", "p"
),
nice_p = TRUE,
...) {
if (digits == "auto") digits <- 2
cat("Tau-U\n")
cat("Method:", x$method, "\n")
cat("Applied Kendall's Tau-", x$tau_method, "\n", sep = "")
if (!is.na(x$ci)) {
cat(x$ci * 100, "% CIs for tau are reported.\n", sep = "")
cat("CI method: ", x$ci_method, "\n\n", sep = "")
} else cat("\n")
out <- x$table
if (length(out) > 1 && x$meta_analyses) {
cat("Tau-U meta analyses:\n")
cat("Weight method: ", x$meta_weight_method, "\n", sep = "")
if (!is.na(x$ci)) cat(x$ci * 100, "% CIs are reported.\n", sep = "")
cat("\n")
print(x$Overall_tau_u, row.names = FALSE, digits = digits)
cat("\n")
}
if (!complete) {
select_vars <- select
select_rows <- match(
c(
"A vs. B",
"A vs. B - Trend A",
"A vs. B + Trend B",
"A vs. B + Trend B - Trend A"
), row.names(x$table[[1]])
)
out <- lapply(x$table, function(x) {
x <- round(x[select_rows, select_vars], digits)
if (nice_p) x$p <- .nice_p(x$p)
if (!is.null(names(select))) names(x) <- names(select)
x
})
} else {
out <- lapply(out, function(x) {
x <- round(x, digits)
if (nice_p) x$p <- .nice_p(x$p) else x$p <- round(x$p, digits)
x
})
}
for(i in seq_along(out)) {
cat("Case:", names(out)[i], "\n")
print(out[[i]], ...)
cat("\n")
}
}
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