Nothing
# Standardize -------------------------------------------------------------
#' @export
standardize.estimate_predicted <- function(x, include_response = TRUE, ...) {
# Get data of predictors
data <- insight::get_data(attributes(x)$model, ...)
data[[attributes(x)$response]] <- NULL # Remove resp from data
# Standardize predictors
x[names(data)] <- datawizard::standardize(as.data.frame(x)[names(data)], reference = data, ...)
# Standardize response
if (include_response == TRUE && insight::model_info(attributes(x)$model)$is_linear) {
resp <- insight::get_response(attributes(x)$model)
disp <- attributes(datawizard::standardize(resp, ...))$scale
for (col in c("Predicted", "Mean", "CI_low", "CI_high")) {
if (col %in% names(x)) {
x[col] <- datawizard::standardize(x[[col]], reference = resp, ...)
}
}
for (col in c("SE", "MAD")) {
if (col %in% names(x)) {
x[col] <- x[[col]] / disp
}
}
}
attr(x, "table_title") <- c(paste(attributes(x)$table_title[1], " (standardized)"), "blue")
x
}
#' @export
standardize.estimate_means <- standardize.estimate_predicted
#' @export
standardize.estimate_contrasts <- function(x, robust = FALSE, ...) {
model <- attributes(x)$model
if (insight::model_info(model)$is_linear) {
# Get dispersion scaling factor
if (robust) {
disp <- stats::mad(insight::get_response(model), na.rm = TRUE)
} else {
disp <- stats::sd(insight::get_response(model), na.rm = TRUE)
}
# Standardize relevant cols
for (col in c("Difference", "Coefficient", "SE", "MAD", "CI_low", "CI_high")) {
if (col %in% names(x)) {
x[col] <- x[[col]] / disp
}
}
}
attr(x, "table_title") <- c(paste(attributes(x)$table_title[1], " (standardized)"), "blue")
x
}
#' @export
standardize.estimate_slopes <- standardize.estimate_contrasts
# Unstandardize -------------------------------------------------------------
#' @method unstandardize estimate_predicted
#' @export
unstandardize.estimate_predicted <- function(x, include_response = TRUE, ...) {
# Get data of predictors
data <- insight::get_data(attributes(x)$model, ...)
data[[attributes(x)$response]] <- NULL # Remove resp from data
# Standardize predictors
x[names(data)] <- datawizard::unstandardize(as.data.frame(x)[names(data)], reference = data, ...)
# Standardize response
if (include_response == TRUE && insight::model_info(attributes(x)$model)$is_linear) {
resp <- insight::get_response(attributes(x)$model)
disp <- attributes(datawizard::standardize(resp, ...))$scale
for (col in c("Predicted", "Mean", "CI_low", "CI_high")) {
if (col %in% names(x)) {
x[col] <- datawizard::unstandardize(x[[col]], reference = resp, ...)
}
}
for (col in c("SE", "MAD")) {
if (col %in% names(x)) {
x[col] <- x[[col]] * disp
}
}
}
x
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.