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#' Build ggplot for rendering (ggtern version).
#'
#' \code{ggplot_build} takes the plot object, and performs all steps necessary
#' to produce an object that can be rendered. This function outputs two pieces:
#' a list of data frames (one for each layer), and a panel object, which
#' contain all information about axis limits, breaks etc.
#'
#' \code{layer_data}, \code{layer_grob}, and \code{layer_scales} are helper
#' functions that returns the data, grob, or scales associated with a given
#' layer. These are useful for tests.
#'
#' @param plot ggplot object
#' @seealso \code{\link{print.ggplot}} and \code{\link{benchplot}} for
#' functions that contain the complete set of steps for generating
#' a ggplot2 plot.
#' @keywords internal
#' @author Nicholas Hamilton
#' @name ggplot_build
#' @rdname ggplot_build
NULL
#' @export
ggplot_build <- function(plot) {
# Attaching the plot env to be fetched by deprecations etc.
ggint$attach_plot_env(plot$plot_env)
UseMethod('ggplot_build')
}
#' @export
ggplot_build.ggplot <- function(plot) {
plot <- ggint$plot_clone(plot)
if (length(plot$layers) == 0) {
plot <- plot + geom_blank()
}
#NH Check the plot is a teryary plot
isTernary = inherits(plot$coordinates,'CoordTern') ##NH
if(isTernary){
plot$layers <- strip_unapproved(plot$layers) ##NH
plot <- layers_add_or_remove_mask(plot) #NH
}
layers <- plot$layers
data <- rep(list(NULL), length(layers))
scales <- plot$scales
# Allow all layers to make any final adjustments based
# on raw input data and plot info
data <- ggint$by_layer(function(l, d) l$layer_data(plot$data), layers, data, "computing layer data")
data <- ggint$by_layer(function(l, d) l$setup_layer(d, plot), layers, data, "setting up layer")
# Initialise panels, add extra data for margins & missing faceting
# variables, and add on a PANEL variable to data
layout <- ggint$create_layout(plot$facet, plot$coordinates, plot$layout)
data <- layout$setup(data, plot$data, plot$plot_env)
# Compute aesthetics to produce data with generalised variable names
data <- ggint$by_layer(function(l, d) l$compute_aesthetics(d, plot), layers, data, "computing aesthetics")
data <- .ignore_data(data)
# Transform all scales
data <- lapply(data, scales$transform_df)
# Map and train positions so that statistics have access to ranges
# and all positions are numeric
scale_x <- function() scales$get_scales("x")
scale_y <- function() scales$get_scales("y")
layout$train_position(data, scale_x(), scale_y())
data <- layout$map_position(data)
data <- .expose_data(data)
# Apply and map statistics
data <- ggint$by_layer(function(l, d) l$compute_statistic(d, layout), layers, data, "computing stat")
data <- ggint$by_layer(function(l, d) l$map_statistic(d, plot), layers, data, "mapping stat to aesthetics")
# Make sure missing (but required) aesthetics are added
# if(!isTernary)
plot$scales$add_missing(c("x", "y"), plot$plot_env)
# Make sure missing (but required) ternary aesthetics are added, and ensure the limits are common
if(isTernary)
plot = scales_add_missing_tern(plot)
# Reparameterise geoms from (e.g.) y and width to ymin and ymax
data <- ggint$by_layer(function(l, d) l$compute_geom_1(d), layers, data, "setting up geom")
# Apply position adjustments
data <- ggint$by_layer(function(l, d) l$compute_position(d, layout), layers, data, "computing position")
# Reset position scales, then re-train and map. This ensures that facets
# have control over the range of a plot: is it generated from what is
# displayed, or does it include the range of underlying data
data <- .ignore_data(data)
layout$reset_scales()
layout$train_position(data, scale_x(), scale_y())
layout$setup_panel_params()
data <- layout$map_position(data)
# Hand off position guides to layout
layout$setup_panel_guides(plot$guides, plot$layers)
# Train and map non-position scales and guides
npscales <- scales$non_position_scales()
if (npscales$n() > 0) {
lapply(data, npscales$train_df)
plot$guides <- plot$guides$build(npscales, plot$layers, plot$labels, data)
data <- lapply(data, npscales$map_df)
} else {
# Only keep custom guides if there are no non-position scales
plot$guides <- plot$guides$get_custom()
}
data <- .expose_data(data)
# Fill in defaults etc.
data <- ggint$by_layer(function(l, d) l$compute_geom_2(d), layers, data, "setting up geom aesthetics")
# Let layer stat have a final say before rendering
data <- ggint$by_layer(function(l, d) l$finish_statistics(d), layers, data, "finishing layer stat")
# Let Layout modify data before rendering
data <- layout$finish_data(data)
# Consolidate alt-text
plot$labels$alt <- get_alt_text(plot)
structure(
list(data = data, layout = layout, plot = plot),
class = "ggplot_built"
)
}
#ggplot_build.ggplot <- function(plot) {
# plot <- ggint$plot_clone(plot)
# if (length(plot$layers) == 0) {
# plot <- plot + geom_blank()
# }
#
# #NH Check the plot is a teryary plot
# isTernary = inherits(plot$coordinates,'CoordTern') ##NH
# if(isTernary){
# plot$layers <- strip_unapproved(plot$layers) ##NH
# plot <- layers_add_or_remove_mask(plot) #NH
# }
#
# #Check the Layers
# layers <- plot$layers
# layer_data <- lapply(layers, function(y) y$layer_data(plot$data))
#
# scales <- plot$scales
#
# # Allow all layers to make any final adjustments based
# # on raw input data and plot info
# data <- layer_data
# data <- by_layer(function(l, d) l$setup_layer(d, plot))
#
# # Initialise panels, add extra data for margins & missing facetting
# # variables, and add on a PANEL variable to data
# layout <- ggint$create_layout(plot$facet,plot$coordinates)
# data <- layout$setup(data, plot$data, plot$plot_env)
#
# # Compute aesthetics to produce data with generalised variable names
# data <- by_layer(function(l, d) l$compute_aesthetics(d, plot))
#
# # Transform all scales
# data <- lapply(data, ggint$scales_transform_df, scales = scales) ##NH
#
# # Map and train positions so that statistics have access to ranges
# # and all positions are numeric
# scale_x <- function() scales$get_scales("x")
# scale_y <- function() scales$get_scales("y")
#
# layout$train_position(data, scale_x(), scale_y())
# data <- layout$map_position(data)
#
# # Apply and map statistics
# data <- by_layer(function(l, d) l$compute_statistic(d, layout))
# data <- by_layer(function(l, d) l$map_statistic(d, plot))
#
# # Make sure missing (but required) aesthetics are added
# ggint$scales_add_missing(plot, c("x", "y"), plot$plot_env)
#
# # Make sure missing (but required) ternary aesthetics are added, and ensure the limits are common
# if(isTernary)
# plot = scales_add_missing_tern(plot)
#
# # Reparameterise geoms from (e.g.) y and width to ymin and ymax
# data <- by_layer(function(l, d) l$compute_geom_1(d))
#
# # Apply position adjustments
# data <- by_layer(function(l, d) l$compute_position(d, layout))
#
# # Reset position scales, then re-train and map. This ensures that facets
# # have control over the range of a plot: is it generated from what's
# # displayed, or does it include the range of underlying data
# layout$reset_scales()
# layout$train_position(data, scale_x(), scale_y())
# layout$setup_panel_params()
# data <- layout$map_position(data)
#
# # Train and map non-position scales
# npscales <- scales$non_position_scales()
# if (npscales$n() > 0) {
# lapply(data, ggint$scales_train_df, scales = npscales) ##NH
# data <- lapply(data, ggint$scales_map_df, scales = npscales) ##NH
# }
#
# # Fill in defaults etc.
# data <- by_layer(function(l, d) l$compute_geom_2(d))
#
# # Let layer stat have a final say before rendering
# data <- by_layer(function(l, d) l$finish_statistics(d))
#
# # Let Layout modify data before rendering
# data <- layout$finish_data(data)
#
# structure(
# list(data = data, layout = layout, plot = plot),
# class = "ggplot_built"
# )
#}
#' @rdname ggplot_build
#' @export
layer_data <- function(plot, i = 1L) {
ggplot_build(plot)$data[[i]]
}
# @export
# @rdname ggplot_build
#layer_scales <- function(plot, i = 1L, j = 1L) {
# b <- ggplot_build(plot)
#
# layout <- b$panel$layout
# selected <- layout[layout$ROW == i & layout$COL == j, , drop = FALSE]
#
# list(
# x = b$panel$x_scales[[selected$SCALE_X]],
# y = b$panel$y_scales[[selected$SCALE_Y]]
# )
#}
# @export
# @rdname ggplot_build
#layer_grob <- function(plot, i = 1L) {
# b <- ggplot_build(plot)
# b$plot$layers[[i]]$draw_geom(b$data[[i]], b$panel, b$plot$coordinates)
#}
#' Build a plot with all the usual bits and pieces.
#'
#' This function builds all grobs necessary for displaying the plot, and
#' stores them in a special data structure called a \code{\link{gtable}}.
#' This object is amenable to programmatic manipulation, should you want
#' to (e.g.) make the legend box 2 cm wide, or combine multiple plots into
#' a single display, preserving aspect ratios across the plots.
#'
#' @seealso \code{\link{print.ggplot}} and \code{link{benchplot}} for
#' for functions that contain the complete set of steps for generating
#' a ggplot2 plot.
#' @return a \code{\link{gtable}} object
#' @keywords internal
#' @param data plot data generated by \code{\link{ggplot_build}}
#' @rdname ggplot_gtable
#' @export
ggplot_gtable <- function(data) {
# Attaching the plot env to be fetched by deprecations etc.
ggint$attach_plot_env(data$plot$plot_env)
UseMethod('ggplot_gtable')
}
#' @export
ggplot_gtable.ggplot_built <- function(data) {
plot <- data$plot
layout <- data$layout
data <- data$data
theme <- ggint$plot_theme(plot)
# Is the current plot a ternary plot
isTernary <- inherits(plot$coordinates,'CoordTern') ##NH
geom_grobs <- ggint$by_layer(function(l, d) l$draw_geom(d, layout), plot$layers, data, "converting geom to grob")
if(!isTernary) ## NH This is in the base ggplot code, but causes error for ggtern
layout$setup_panel_guides(plot$guides, plot$layers) #, plot$mapping) ## NH 21st Jul 2021
plot_table <- layout$render(geom_grobs, data, theme, plot$labels)
#NH For Ternary Plot.
if(isTernary){
latex <- calc_element('tern.plot.latex', theme, verbose = FALSE)
plot$labels<- lapply(plot$labels, function(x) label_formatter(x,latex = latex))
plot_table <- plot$coordinates$remove_labels(plot_table)
}
# Legends
legend_box <- plot$guides$assemble(theme)
plot_table <- ggint$table_add_legends(plot_table, legend_box, theme)
# Title
title <- element_render(
theme, "plot.title", plot$labels$title,
margin_y = TRUE, margin_x = TRUE
)
title_height <- grobHeight(title)
# Subtitle
subtitle <- element_render(
theme, "plot.subtitle", plot$labels$subtitle,
margin_y = TRUE, margin_x = TRUE
)
subtitle_height <- grobHeight(subtitle)
# whole plot annotation
caption <- element_render(
theme, "plot.caption", plot$labels$caption,
margin_y = TRUE, margin_x = TRUE
)
caption_height <- grobHeight(caption)
# positioning of title and subtitle is governed by plot.title.position
# positioning of caption is governed by plot.caption.position
# "panel" means align to the panel(s)
# "plot" means align to the entire plot (except margins and tag)
title_pos <- rlang::arg_match0(
theme$plot.title.position %||% "panel",
c("panel", "plot"),
arg_nm = "plot.title.position",
error_call = expr(theme())
)
caption_pos <- rlang::arg_match0(
theme$plot.caption.position %||% "panel",
values = c("panel", "plot"),
arg_nm = "plot.caption.position",
error_call = expr(theme())
)
pans <- plot_table$layout[grepl("^panel", plot_table$layout$name), , drop = FALSE]
if (title_pos == "panel") {
title_l = min(pans$l)
title_r = max(pans$r)
} else {
title_l = 1
title_r = ncol(plot_table)
}
if (caption_pos == "panel") {
caption_l = min(pans$l)
caption_r = max(pans$r)
} else {
caption_l = 1
caption_r = ncol(plot_table)
}
plot_table <- gtable_add_rows(plot_table, subtitle_height, pos = 0)
plot_table <- gtable_add_grob(plot_table, subtitle, name = "subtitle",
t = 1, b = 1, l = title_l, r = title_r, clip = "off")
plot_table <- gtable_add_rows(plot_table, title_height, pos = 0)
plot_table <- gtable_add_grob(plot_table, title, name = "title",
t = 1, b = 1, l = title_l, r = title_r, clip = "off")
plot_table <- gtable_add_rows(plot_table, caption_height, pos = -1)
plot_table <- gtable_add_grob(plot_table, caption, name = "caption",
t = -1, b = -1, l = caption_l, r = caption_r, clip = "off")
plot_table <- ggint$table_add_tag(plot_table, plot$labels$tag, theme)
# Margins
plot_table <- gtable_add_rows(plot_table, theme$plot.margin[1], pos = 0)
plot_table <- gtable_add_cols(plot_table, theme$plot.margin[2])
plot_table <- gtable_add_rows(plot_table, theme$plot.margin[3])
plot_table <- gtable_add_cols(plot_table, theme$plot.margin[4], pos = 0)
if (inherits(theme$plot.background, "element")) {
plot_table <- gtable_add_grob(plot_table,
element_render(theme, "plot.background"),
t = 1, l = 1, b = -1, r = -1, name = "background", z = -Inf)
plot_table$layout <- plot_table$layout[c(nrow(plot_table$layout), 1:(nrow(plot_table$layout) - 1)),]
plot_table$grobs <- plot_table$grobs[c(nrow(plot_table$layout), 1:(nrow(plot_table$layout) - 1))]
}
# add alt-text as attribute
attr(plot_table, "alt-label") <- plot$labels$alt
plot_table
}
#ggplot_gtable.ggplot_built <- function(data) {
# plot <- data$plot
# layout <- data$layout
# data <- data$data
# theme <- ggint$plot_theme(plot) #NH
#
# # Is the current plot a ternary plot
# isTernary <- inherits(plot$coordinates,'CoordTern') ##NH
#
# geom_grobs <- Map(function(l, d) l$draw_geom(d, layout), plot$layers, data)
# if(!isTernary) ## NH This is in the base ggplot code, but causes error for ggtern
# layout$setup_panel_guides(plot$guides, plot$layers, plot$mapping) ## NH 21st Jul 2021
# plot_table <- layout$render(geom_grobs, data, theme, plot$labels)
#
# #NH For Ternary Plot.
# if(isTernary){
# latex <- calc_element('tern.plot.latex', theme, verbose = FALSE)
# plot$labels<- lapply(plot$labels, function(x) label_formatter(x,latex = latex))
# plot_table <- plot$coordinates$remove_labels(plot_table)
# }
#
# # Legends
# position <- theme$legend.position %||% "right"
# if (length(position) == 2) {
# position <- "manual"
# }
#
# legend_box <- if (position != "none") {
# # ggint$build_guides(plot$scales, plot$layers, plot$mapping, position, theme, plot$guides, plot$labels) ##NH
# } else {
# zeroGrob()
# }
#
# if (ggint$is.zero(legend_box)) { ##NH
# position <- "none"
# } else {
# # these are a bad hack, since it modifies the contents of viewpoint directly...
# legend_width <- gtable_width(legend_box)
# legend_height <- gtable_height(legend_box)
#
# # Set the justification of the legend box
# # First value is xjust, second value is yjust
# just <- valid.just(theme$legend.justification)
# xjust <- just[1]
# yjust <- just[2]
#
# if (position == "manual") {
# xpos <- theme$legend.position[1]
# ypos <- theme$legend.position[2]
#
# # x and y are specified via theme$legend.position (i.e., coords)
# legend_box <- editGrob(legend_box,
# vp = viewport(x = xpos, y = ypos, just = c(xjust, yjust),
# height = legend_height, width = legend_width))
# } else {
# # x and y are adjusted using justification of legend box (i.e., theme$legend.justification)
# legend_box <- editGrob(legend_box,
# vp = viewport(x = xjust, y = yjust, just = c(xjust, yjust)))
# legend_box <- gtable_add_rows(legend_box, unit(yjust, 'null'))
# legend_box <- gtable_add_rows(legend_box, unit(1 - yjust, 'null'), 0)
# legend_box <- gtable_add_cols(legend_box, unit(xjust, 'null'), 0)
# legend_box <- gtable_add_cols(legend_box, unit(1 - xjust, 'null'))
# }
# }
#
# panel_dim <- find_panel(plot_table)
# # for align-to-device, use this:
# # panel_dim <- summarise(plot_table$layout, t = min(t), r = max(r), b = max(b), l = min(l))
#
# theme$legend.box.spacing <- theme$legend.box.spacing %||% unit(0.2, 'cm')
# if (position == "left") {
# plot_table <- gtable_add_cols(plot_table, theme$legend.box.spacing, pos = 0)
# plot_table <- gtable_add_cols(plot_table, legend_width, pos = 0)
# plot_table <- gtable_add_grob(plot_table, legend_box, clip = "off",
# t = panel_dim$t, b = panel_dim$b, l = 1, r = 1, name = "guide-box")
# } else if (position == "right") {
# plot_table <- gtable_add_cols(plot_table, theme$legend.box.spacing, pos = -1)
# plot_table <- gtable_add_cols(plot_table, legend_width, pos = -1)
# plot_table <- gtable_add_grob(plot_table, legend_box, clip = "off",
# t = panel_dim$t, b = panel_dim$b, l = -1, r = -1, name = "guide-box")
# } else if (position == "bottom") {
# plot_table <- gtable_add_rows(plot_table, theme$legend.box.spacing, pos = -1)
# plot_table <- gtable_add_rows(plot_table, legend_height, pos = -1)
# plot_table <- gtable_add_grob(plot_table, legend_box, clip = "off",
# t = -1, b = -1, l = panel_dim$l, r = panel_dim$r, name = "guide-box")
# } else if (position == "top") {
# plot_table <- gtable_add_rows(plot_table, theme$legend.box.spacing, pos = 0)
# plot_table <- gtable_add_rows(plot_table, legend_height, pos = 0)
# plot_table <- gtable_add_grob(plot_table, legend_box, clip = "off",
# t = 1, b = 1, l = panel_dim$l, r = panel_dim$r, name = "guide-box")
# } else if (position == "manual") {
# # should guide box expand whole region or region without margin?
# plot_table <- gtable_add_grob(plot_table, legend_box,
# t = panel_dim$t, b = panel_dim$b, l = panel_dim$l, r = panel_dim$r,
# clip = "off", name = "guide-box")
# }
#
# # Title
# title <- element_render(theme, "plot.title", plot$labels$title, margin_y = TRUE)
# title_height <- grobHeight(title)
#
# # Subtitle
# subtitle <- element_render(theme, "plot.subtitle", plot$labels$subtitle, margin_y = TRUE)
# subtitle_height <- grobHeight(subtitle)
#
# # Tag
# tag <- element_render(theme, "plot.tag", plot$labels$tag, margin_y = TRUE, margin_x = TRUE)
# tag_height <- grobHeight(tag)
# tag_width <- grobWidth(tag)
#
# # whole plot annotation
# caption <- element_render(theme, "plot.caption", plot$labels$caption, expand_y = TRUE)
# caption_height <- grobHeight(caption)
#
# pans <- plot_table$layout[grepl("^panel", plot_table$layout$name), ,
# drop = FALSE]
#
# plot_table <- gtable_add_rows(plot_table, subtitle_height, pos = 0)
# plot_table <- gtable_add_grob(plot_table, subtitle, name = "subtitle",
# t = 1, b = 1, l = min(pans$l), r = max(pans$r), clip = "off")
#
# plot_table <- gtable_add_rows(plot_table, title_height, pos = 0)
# plot_table <- gtable_add_grob(plot_table, title, name = "title",
# t = 1, b = 1, l = min(pans$l), r = max(pans$r), clip = "off")
#
# plot_table <- gtable_add_rows(plot_table, caption_height, pos = -1)
# plot_table <- gtable_add_grob(plot_table, caption, name = "caption",
# t = -1, b = -1, l = min(pans$l), r = max(pans$r), clip = "off")
#
# plot_table <- gtable_add_rows(plot_table, unit(0, 'pt'), pos = 0)
# plot_table <- gtable_add_cols(plot_table, unit(0, 'pt'), pos = 0)
# plot_table <- gtable_add_rows(plot_table, unit(0, 'pt'), pos = -1)
# plot_table <- gtable_add_cols(plot_table, unit(0, 'pt'), pos = -1)
#
# tag_pos <- theme$plot.tag.position %||% "topleft"
# if (length(tag_pos) == 2) tag_pos <- "manual"
# valid_pos <- c("topleft", "top", "topright", "left", "right", "bottomleft",
# "bottom", "bottomright")
#
# if (!(tag_pos == "manual" || tag_pos %in% valid_pos)) {
# stop("plot.tag.position should be a coordinate or one of ",
# paste(valid_pos, collapse = ', '), call. = FALSE)
# }
#
# if (tag_pos == "manual") {
# xpos <- theme$plot.tag.position[1]
# ypos <- theme$plot.tag.position[2]
# tag_parent <- ggint$justify_grobs(tag, x = xpos, y = ypos,
# hjust = theme$plot.tag$hjust,
# vjust = theme$plot.tag$vjust,
# int_angle = theme$plot.tag$angle,
# debug = theme$plot.tag$debug)
# plot_table <- gtable_add_grob(plot_table, tag_parent, name = "tag", t = 1,
# b = nrow(plot_table), l = 1,
# r = ncol(plot_table), clip = "off")
# } else {
# # Widths and heights are reassembled below instead of assigning into them
# # in order to avoid bug in grid 3.2 and below.
# if (tag_pos == "topleft") {
# plot_table$widths <- unit.c(tag_width, plot_table$widths[-1])
# plot_table$heights <- unit.c(tag_height, plot_table$heights[-1])
# plot_table <- gtable_add_grob(plot_table, tag, name = "tag",
# t = 1, l = 1, clip = "off")
# } else if (tag_pos == "top") {
# plot_table$heights <- unit.c(tag_height, plot_table$heights[-1])
# plot_table <- gtable_add_grob(plot_table, tag, name = "tag",
# t = 1, l = 1, r = ncol(plot_table),
# clip = "off")
# } else if (tag_pos == "topright") {
# plot_table$widths <- unit.c(plot_table$widths[-ncol(plot_table)], tag_width)
# plot_table$heights <- unit.c(tag_height, plot_table$heights[-1])
# plot_table <- gtable_add_grob(plot_table, tag, name = "tag",
# t = 1, l = ncol(plot_table), clip = "off")
# } else if (tag_pos == "left") {
# plot_table$widths <- unit.c(tag_width, plot_table$widths[-1])
# plot_table <- gtable_add_grob(plot_table, tag, name = "tag",
# t = 1, b = nrow(plot_table), l = 1,
# clip = "off")
# } else if (tag_pos == "right") {
# plot_table$widths <- unit.c(plot_table$widths[-ncol(plot_table)], tag_width)
# plot_table <- gtable_add_grob(plot_table, tag, name = "tag",
# t = 1, b = nrow(plot_table), l = ncol(plot_table),
# clip = "off")
# } else if (tag_pos == "bottomleft") {
# plot_table$widths <- unit.c(tag_width, plot_table$widths[-1])
# plot_table$heights <- unit.c(plot_table$heights[-nrow(plot_table)], tag_height)
# plot_table <- gtable_add_grob(plot_table, tag, name = "tag",
# t = nrow(plot_table), l = 1, clip = "off")
# } else if (tag_pos == "bottom") {
# plot_table$heights <- unit.c(plot_table$heights[-nrow(plot_table)], tag_height)
# plot_table <- gtable_add_grob(plot_table, tag, name = "tag",
# t = nrow(plot_table), l = 1, r = ncol(plot_table), clip = "off")
# } else if (tag_pos == "bottomright") {
# plot_table$widths <- unit.c(plot_table$widths[-ncol(plot_table)], tag_width)
# plot_table$heights <- unit.c(plot_table$heights[-nrow(plot_table)], tag_height)
# plot_table <- gtable_add_grob(plot_table, tag, name = "tag",
# t = nrow(plot_table), l = ncol(plot_table), clip = "off")
# }
# }
#
# # Margins
# plot_table <- gtable_add_rows(plot_table, theme$plot.margin[1], pos = 0)
# plot_table <- gtable_add_cols(plot_table, theme$plot.margin[2])
# plot_table <- gtable_add_rows(plot_table, theme$plot.margin[3])
# plot_table <- gtable_add_cols(plot_table, theme$plot.margin[4], pos = 0)
#
# if (inherits(theme$plot.background, "element")) {
# plot_table <- gtable_add_grob(plot_table,
# element_render(theme, "plot.background"),
# t = 1, l = 1, b = -1, r = -1, name = "background", z = -Inf)
# plot_table$layout <- plot_table$layout[c(nrow(plot_table$layout), 1:(nrow(plot_table$layout) - 1)),]
# plot_table$grobs <- plot_table$grobs[c(nrow(plot_table$layout), 1:(nrow(plot_table$layout) - 1))]
# }
# plot_table
#}
#' Generate a ggplot2 plot grob (ggtern version)
#'
#' @param x ggplot2 object
#' @rdname ggplot_gtable
#' @export
ggplotGrob <- function(x) {
ggplot_gtable(ggplot_build(x))
}
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