Nothing
print.boxcoxCensored <-
function (x, ...)
{
coll.string <- paste("\n", space(33), sep = "")
cat("\nResults of Box-Cox Transformation\n")
cat("Based on Type I Censored Data\n")
cat("---------------------------------\n\n")
cat("Objective Name:", space(18), x$objective.name, "\n\n",
sep = "")
if (is.null(names(x$data.name)))
cat("Data:", space(28), x$data.name, "\n\n", sep = "")
else cat("Data:", space(28), paste(paste(format(names(x$data.name),
justify = "left"), format(x$data.name, ...), sep = " = "),
collapse = coll.string), "\n\n", sep = "")
if (!is.null(x$subset.expression))
cat("Subset With:", space(21), x$subset.expression, "\n\n",
sep = "")
cat("Censoring Variable:", space(14), x$censoring.name, "\n\n",
sep = "")
cat("Censoring Side:", space(18), x$censoring.side, "\n\n",
sep = "")
cat("Censoring Level(s):", space(12), format(x$censoring.levels,
nsmall = 0, justify = "left", ...), "\n\n")
if (!is.null(x$parent.of.data))
cat("Data Source:", space(21), x$parent.of.data, "\n\n",
sep = "")
if (!is.null(x$bad.obs) && any(x$bad.obs > 0))
cat("Number NA/NaN/Inf's Removed:", space(5), x$bad.obs,
"\n\n", sep = "")
cat("Sample Size:", space(21), x$sample.size, "\n\n", sep = "")
cat("Percent Censored:", space(16), round(x$percent.censored,
1), "%", "\n\n", sep = "")
if (x$optimize) {
cat("Bounds for Optimization:", space(9), paste(paste(format(names(x$optimize.bounds),
justify = "left"), format(x$optimize.bounds, nsmall = 0,
...), sep = " = "), collapse = paste("\n", space(33),
sep = "")), "\n\n", sep = "")
cat("Optimal Value:", space(19), paste("lambda =", format(x$lambda,
...)), "\n\n", sep = "")
cat("Value of Objective:", space(14), paste(x$objective.name,
"=", format(x$objective, ...)), "\n\n", sep = "")
}
else {
dum.mat <- cbind(x$lambda, x$objective)
dimnames(dum.mat) <- list(rep("", nrow(dum.mat)), c("lambda",
x$objective.name))
print(dum.mat, ...)
}
invisible(x)
}
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