#' @describeIn mplm Print results
#' @order 2
#' @inheritParams print.sc
#' @param x Object returned from [mplm()].
#' @param digits The minimum number of significant digits to be use.
#' If set to "auto" (default), values are predefined.
#' @param std If TRUE, a table with standardized estimates is included.
#' @export
print.sc_mplm <- function(x, digits = "auto", std = FALSE, ...) {
if (digits == "auto") digits <- 3
cat("Multivariate piecewise linear model\n\n")
cat(
"Dummy model: ", x$model, " ",
paste0("level = ", x$contrast$level, ", slope = " ,x$contrast$slope),
"\n\n",
sep = ""
)
coef <- x$full.model$coefficients
if (inherits(coef, "numeric")) {
coef <- as.data.frame(coef)
names(coef) <- attr(x, opt("dv"))
}
rownames(coef) <- gsub("(Intercept)", "Intercept", rownames(coef))
rownames(coef) <- gsub("mt", "Trend", rownames(coef))
rownames(coef) <- gsub("phase", "Level Phase ", rownames(coef))
rownames(coef) <- gsub("inter", "Slope Phase ", rownames(coef))
cat("Coefficients: \n")
print(coef, digits = digits, ...)
if (isTRUE(std)) {
coef_std <- x$full.model$coef_std
rownames(coef_std) <- gsub("(Intercept)", "Intercept", rownames(coef_std))
rownames(coef_std) <- gsub("mt", "Trend", rownames(coef_std))
rownames(coef_std) <- gsub("phase", "Level Phase ", rownames(coef_std))
rownames(coef_std) <- gsub("inter", "Slope Phase ", rownames(coef_std))
cat("\nStandardized coefficients: \n")
print(coef_std, digits = digits, ...)
}
cat("\n")
cat("Formula: ")
print(x$formula, showEnv = FALSE)
res <- car::Anova(x$full.model, type = 3)
if (!is.null(res$terms)) {
res$terms <- gsub("(Intercept)", "Intercept", res$terms)
res$terms <- gsub("mt", "Trend", res$terms)
res$terms <- gsub("phase", "Level Phase ", res$terms)
res$terms <- gsub("inter", "Slope Phase ", res$terms)
} else {
rn <- attr(res, "row.names")
rn <- gsub("(Intercept)", "Intercept", rn)
rn <- gsub("mt", "Trend", rn)
rn <- gsub("phase", "Level Phase ", rn)
rn <- gsub("inter", "Slope Phase ", rn)
attr(res, "row.names") <- rn
}
print(res, digits = digits, ...)
.note_vars(x)
}
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