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#' Print brokenstick object
#'
#' @rdname print
#' @param x A \code{brokenstick} object
#' @param hide Should output for boundary knots be hidden in the print,
#' summary and plot functions? Can be `"right"`, `"left"`,`"boundary"`,
#' `"internal"` or `"none"`.
#' If not specified, it is read from the field `x$hide`.
#' @inheritParams base::print
#' @export
print.brokenstick <- function(x,
digits = getOption("digits"),
...,
hide = c("right", "left", "boundary", "internal", "none")) {
stopifnot(inherits(x, "brokenstick"))
if (!missing(hide)) {
hide <- match.arg(hide)
} else {
hide <- ifelse(is.null(x$hide), "right", x$hide)
}
cat(paste0("Class brokenstick (", x$method, ")"))
if (x$light) cat(" light")
cat("\n")
cat("Variables ", x$names$y, "(outcome),", x$names$x, "(predictor),", x$names$g, "(group)\n")
cat("Knots ", format(get_knots(x, hide = hide), digits = digits, ...), "\n")
cat("Mean resid ", format(x$sigma2, digits = digits, ...), "\n")
if (!is.null(x$r2)) cat("R-squared ", format(x$r2, digits = digits, ...), "\n")
return(invisible(x))
}
#' @export
print.summary.brokenstick <- function(x,
digits = getOption("digits"),
na.print = "",
...) {
stopifnot(inherits(x, "summary.brokenstick"))
cat(paste0("Class brokenstick (", x$method, ")"))
if (x$light) cat(" light")
cat("\n")
cat("Variables ", x$names$y, "(outcome),", x$names$x, "(predictor),", x$names$g, "(group)\n")
cat("Data ", x$sample[1L], "(n),", x$sample[3], "(nmis),", x$sample[4], "(groups)\n")
cat(
"Parameters ", x$model$npar, "(total),", x$model$nfixed, "(fixed),",
x$model$nvar, "(variance),", x$model$ncov, "(covariance),",
x$model$nerr, "(error)\n"
)
cat("Knots ", format(x$knots, digits = digits, ...), "\n")
cat("Means ", format(x$beta, digits = digits, ...), "\n")
if (length(x$sigma2j)) {
cat("Residuals ", format(x$sigma2j, digits = digits, ...), "(min, P25, P50, P75, max)\n")
}
cat("Mean resid ", format(x$sigma2, digits = digits, ...), "\n")
if (!is.null(x$r2)) cat("R-squared ", format(x$r2, digits = digits, ...), "\n")
cat("\n")
if (x$cor) cat("Correlation matrix\n")
else cat("Variance-covariance matrix\n")
print(x$omega, digits = digits, na.print = na.print, ...)
return(invisible(x))
}
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