1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457
|
#' @include facet-.r
NULL
#' Lay out panels in a grid
#'
#' `facet_grid()` forms a matrix of panels defined by row and column
#' faceting variables. It is most useful when you have two discrete
#' variables, and all combinations of the variables exist in the data.
#' If you have only one variable with many levels, try [facet_wrap()].
#'
#' @param rows,cols A set of variables or expressions quoted by
#' [vars()] and defining faceting groups on the rows or columns
#' dimension. The variables can be named (the names are passed to
#' `labeller`).
#'
#' For compatibility with the classic interface, `rows` can also be
#' a formula with the rows (of the tabular display) on the LHS and
#' the columns (of the tabular display) on the RHS; the dot in the
#' formula is used to indicate there should be no faceting on this
#' dimension (either row or column).
#' @param scales Are scales shared across all facets (the default,
#' `"fixed"`), or do they vary across rows (`"free_x"`),
#' columns (`"free_y"`), or both rows and columns (`"free"`)?
#' @param space If `"fixed"`, the default, all panels have the same size.
#' If `"free_y"` their height will be proportional to the length of the
#' y scale; if `"free_x"` their width will be proportional to the
#' length of the x scale; or if `"free"` both height and width will
#' vary. This setting has no effect unless the appropriate scales also vary.
#' @param labeller A function that takes one data frame of labels and
#' returns a list or data frame of character vectors. Each input
#' column corresponds to one factor. Thus there will be more than
#' one with `vars(cyl, am)`. Each output
#' column gets displayed as one separate line in the strip
#' label. This function should inherit from the "labeller" S3 class
#' for compatibility with [labeller()]. You can use different labeling
#' functions for different kind of labels, for example use [label_parsed()] for
#' formatting facet labels. [label_value()] is used by default,
#' check it for more details and pointers to other options.
#' @param as.table If `TRUE`, the default, the facets are laid out like
#' a table with highest values at the bottom-right. If `FALSE`, the
#' facets are laid out like a plot with the highest value at the top-right.
#' @param switch By default, the labels are displayed on the top and
#' right of the plot. If `"x"`, the top labels will be
#' displayed to the bottom. If `"y"`, the right-hand side
#' labels will be displayed to the left. Can also be set to
#' `"both"`.
#' @param shrink If `TRUE`, will shrink scales to fit output of
#' statistics, not raw data. If `FALSE`, will be range of raw data
#' before statistical summary.
#' @param drop If `TRUE`, the default, all factor levels not used in the
#' data will automatically be dropped. If `FALSE`, all factor levels
#' will be shown, regardless of whether or not they appear in the data.
#' @param margins Either a logical value or a character
#' vector. Margins are additional facets which contain all the data
#' for each of the possible values of the faceting variables. If
#' `FALSE`, no additional facets are included (the
#' default). If `TRUE`, margins are included for all faceting
#' variables. If specified as a character vector, it is the names of
#' variables for which margins are to be created.
#' @param facets This argument is soft-deprecated, please use `rows`
#' and `cols` instead.
#' @export
#' @examples
#' p <- ggplot(mpg, aes(displ, cty)) + geom_point()
#'
#' # Use vars() to supply variables from the dataset:
#' p + facet_grid(rows = vars(drv))
#' p + facet_grid(cols = vars(cyl))
#' p + facet_grid(vars(drv), vars(cyl))
#'
#' # To change plot order of facet grid,
#' # change the order of variable levels with factor()
#'
#' # If you combine a facetted dataset with a dataset that lacks those
#' # faceting variables, the data will be repeated across the missing
#' # combinations:
#' df <- data.frame(displ = mean(mpg$displ), cty = mean(mpg$cty))
#' p +
#' facet_grid(cols = vars(cyl)) +
#' geom_point(data = df, colour = "red", size = 2)
#'
#' # Free scales -------------------------------------------------------
#' # You can also choose whether the scales should be constant
#' # across all panels (the default), or whether they should be allowed
#' # to vary
#' mt <- ggplot(mtcars, aes(mpg, wt, colour = factor(cyl))) +
#' geom_point()
#'
#' mt + facet_grid(vars(cyl), scales = "free")
#'
#' # If scales and space are free, then the mapping between position
#' # and values in the data will be the same across all panels. This
#' # is particularly useful for categorical axes
#' ggplot(mpg, aes(drv, model)) +
#' geom_point() +
#' facet_grid(manufacturer ~ ., scales = "free", space = "free") +
#' theme(strip.text.y = element_text(angle = 0))
#'
#' # Margins ----------------------------------------------------------
#' \donttest{
#' # Margins can be specified logically (all yes or all no) or for specific
#' # variables as (character) variable names
#' mg <- ggplot(mtcars, aes(x = mpg, y = wt)) + geom_point()
#' mg + facet_grid(vs + am ~ gear, margins = TRUE)
#' mg + facet_grid(vs + am ~ gear, margins = "am")
#' # when margins are made over "vs", since the facets for "am" vary
#' # within the values of "vs", the marginal facet for "vs" is also
#' # a margin over "am".
#' mg + facet_grid(vs + am ~ gear, margins = "vs")
#' }
facet_grid <- function(rows = NULL, cols = NULL, scales = "fixed",
space = "fixed", shrink = TRUE,
labeller = "label_value", as.table = TRUE,
switch = NULL, drop = TRUE, margins = FALSE,
facets = NULL) {
# `facets` is soft-deprecated and renamed to `rows`
if (!is.null(facets)) {
rows <- facets
}
# Should become a warning in a future release
if (is.logical(cols)) {
margins <- cols
cols <- NULL
}
scales <- arg_match0(scales %||% "fixed", c("fixed", "free_x", "free_y", "free"))
free <- list(
x = any(scales %in% c("free_x", "free")),
y = any(scales %in% c("free_y", "free"))
)
space <- arg_match0(space %||% "fixed", c("fixed", "free_x", "free_y", "free"))
space_free <- list(
x = any(space %in% c("free_x", "free")),
y = any(space %in% c("free_y", "free"))
)
if (!is.null(switch) && !switch %in% c("both", "x", "y")) {
cli::cli_abort("{.arg switch} must be either {.val both}, {.val x}, or {.val y}")
}
facets_list <- grid_as_facets_list(rows, cols)
# Check for deprecated labellers
labeller <- check_labeller(labeller)
ggproto(NULL, FacetGrid,
shrink = shrink,
params = list(rows = facets_list$rows, cols = facets_list$cols, margins = margins,
free = free, space_free = space_free, labeller = labeller,
as.table = as.table, switch = switch, drop = drop)
)
}
# Returns a list of quosures objects. The list has exactly two elements, `rows` and `cols`.
grid_as_facets_list <- function(rows, cols) {
is_rows_vars <- is.null(rows) || is_quosures(rows)
if (!is_rows_vars) {
if (!is.null(cols)) {
msg <- "{.arg rows} must be {.val NULL} or a {.fn vars} list if {.arg cols} is a {.fn vars} list"
# Native pipe have higher precedence than + so any type of gg object can be
# expected here, not just ggplot
if (inherits(rows, "gg")) {
msg <- c(
msg,
"i" = "Did you use {.code %>%} or {.code |>} instead of {.code +}?"
)
}
cli::cli_abort(msg)
}
# For backward-compatibility
facets_list <- as_facets_list(rows)
if (length(facets_list) > 2L) {
cli::cli_abort("A grid facet specification can't have more than two dimensions")
}
# Fill with empty quosures
facets <- list(rows = quos(), cols = quos())
facets[seq_along(facets_list)] <- facets_list
# Do not compact the legacy specs
return(facets)
}
is_cols_vars <- is.null(cols) || is_quosures(cols)
if (!is_cols_vars) {
cli::cli_abort("{.arg cols} must be {.val NULL} or a {.fn vars} specification")
}
list(
rows = compact_facets(as_facets_list(rows)),
cols = compact_facets(as_facets_list(cols))
)
}
#' @rdname ggplot2-ggproto
#' @format NULL
#' @usage NULL
#' @export
FacetGrid <- ggproto("FacetGrid", Facet,
shrink = TRUE,
compute_layout = function(self, data, params) {
rows <- params$rows
cols <- params$cols
check_facet_vars(names(rows), names(cols), name = snake_class(self))
dups <- intersect(names(rows), names(cols))
if (length(dups) > 0) {
cli::cli_abort(c(
"Faceting variables can only appear in {.arg rows} or {.arg cols}, not both.\n",
"i" = "Duplicated variables: {.val {dups}}"
), call = call2(snake_class(self)))
}
base_rows <- combine_vars(data, params$plot_env, rows, drop = params$drop)
if (!params$as.table) {
rev_order <- function(x) factor(x, levels = rev(ulevels(x)))
base_rows[] <- lapply(base_rows, rev_order)
}
base_cols <- combine_vars(data, params$plot_env, cols, drop = params$drop)
base <- df.grid(base_rows, base_cols)
if (nrow(base) == 0) {
return(data_frame0(
PANEL = factor(1L),
ROW = 1L,
COL = 1L,
SCALE_X = 1L,
SCALE_Y = 1L
))
}
# Add margins
base <- reshape_add_margins(base, list(names(rows), names(cols)), params$margins)
base <- unique0(base)
# Create panel info dataset
panel <- id(base, drop = TRUE)
panel <- factor(panel, levels = seq_len(attr(panel, "n")))
rows <- if (!length(names(rows))) rep(1L, length(panel)) else id(base[names(rows)], drop = TRUE)
cols <- if (!length(names(cols))) rep(1L, length(panel)) else id(base[names(cols)], drop = TRUE)
panels <- data_frame0(PANEL = panel, ROW = rows, COL = cols, base)
panels <- panels[order(panels$PANEL), , drop = FALSE]
rownames(panels) <- NULL
panels$SCALE_X <- if (params$free$x) panels$COL else 1L
panels$SCALE_Y <- if (params$free$y) panels$ROW else 1L
panels
},
map_data = function(data, layout, params) {
if (empty(data)) {
return(vec_cbind(data %|W|% NULL, PANEL = integer(0)))
}
rows <- params$rows
cols <- params$cols
vars <- c(names(rows), names(cols))
if (length(vars) == 0) {
data$PANEL <- layout$PANEL
return(data)
}
# Compute faceting values and add margins
margin_vars <- list(intersect(names(rows), names(data)),
intersect(names(cols), names(data)))
data <- reshape_add_margins(data, margin_vars, params$margins)
facet_vals <- eval_facets(c(rows, cols), data, params$.possible_columns)
# If any faceting variables are missing, add them in by
# duplicating the data
missing_facets <- setdiff(vars, names(facet_vals))
if (length(missing_facets) > 0) {
to_add <- unique0(layout[missing_facets])
data_rep <- rep.int(1:nrow(data), nrow(to_add))
facet_rep <- rep(1:nrow(to_add), each = nrow(data))
data <- unrowname(data[data_rep, , drop = FALSE])
facet_vals <- unrowname(vec_cbind(
unrowname(facet_vals[data_rep, , drop = FALSE]),
unrowname(to_add[facet_rep, , drop = FALSE]))
)
}
# Add PANEL variable
if (nrow(facet_vals) == 0) {
# Special case of no faceting
data$PANEL <- NO_PANEL
} else {
facet_vals[] <- lapply(facet_vals[], as.factor)
facet_vals[] <- lapply(facet_vals[], addNA, ifany = TRUE)
layout[] <- lapply(layout[], as.factor)
keys <- join_keys(facet_vals, layout, by = vars)
data$PANEL <- layout$PANEL[match(keys$x, keys$y)]
}
data
},
draw_panels = function(panels, layout, x_scales, y_scales, ranges, coord, data, theme, params) {
if ((params$free$x || params$free$y) && !coord$is_free()) {
cli::cli_abort("{.fn {snake_class(coord)}} doesn't support free scales")
}
cols <- which(layout$ROW == 1)
rows <- which(layout$COL == 1)
axes <- render_axes(ranges[cols], ranges[rows], coord, theme, transpose = TRUE)
col_vars <- unique0(layout[names(params$cols)])
row_vars <- unique0(layout[names(params$rows)])
# Adding labels metadata, useful for labellers
attr(col_vars, "type") <- "cols"
attr(col_vars, "facet") <- "grid"
attr(row_vars, "type") <- "rows"
attr(row_vars, "facet") <- "grid"
strips <- render_strips(col_vars, row_vars, params$labeller, theme)
aspect_ratio <- theme$aspect.ratio
if (!is.null(aspect_ratio) && (params$space_free$x || params$space_free$y)) {
cli::cli_abort("Free scales cannot be mixed with a fixed aspect ratio")
}
if (is.null(aspect_ratio) && !params$free$x && !params$free$y) {
aspect_ratio <- coord$aspect(ranges[[1]])
}
if (is.null(aspect_ratio)) {
aspect_ratio <- 1
respect <- FALSE
} else {
respect <- TRUE
}
ncol <- max(layout$COL)
nrow <- max(layout$ROW)
panel_table <- matrix(panels, nrow = nrow, ncol = ncol, byrow = TRUE)
# @kohske
# Now size of each panel is calculated using PANEL$ranges, which is given by
# coord_train called by train_range.
# So here, "scale" need not to be referred.
#
# In general, panel has all information for building facet.
if (params$space_free$x) {
ps <- layout$PANEL[layout$ROW == 1]
widths <- vapply(ps, function(i) diff(ranges[[i]]$x.range), numeric(1))
panel_widths <- unit(widths, "null")
} else {
panel_widths <- rep(unit(1, "null"), ncol)
}
if (params$space_free$y) {
ps <- layout$PANEL[layout$COL == 1]
heights <- vapply(ps, function(i) diff(ranges[[i]]$y.range), numeric(1))
panel_heights <- unit(heights, "null")
} else {
panel_heights <- rep(unit(1 * abs(aspect_ratio), "null"), nrow)
}
panel_table <- gtable_matrix("layout", panel_table,
panel_widths, panel_heights, respect = respect, clip = coord$clip, z = matrix(1, ncol = ncol, nrow = nrow))
panel_table$layout$name <- paste0('panel-', rep(seq_len(nrow), ncol), '-', rep(seq_len(ncol), each = nrow))
panel_table <- gtable_add_col_space(panel_table,
theme$panel.spacing.x %||% theme$panel.spacing)
panel_table <- gtable_add_row_space(panel_table,
theme$panel.spacing.y %||% theme$panel.spacing)
# Add axes
axis_height_top <- max_height(axes$x$top)
axis_height_bottom <- max_height(axes$x$bottom)
axis_width_left <- max_width(axes$y$left)
axis_width_right <- max_width(axes$y$right)
panel_table <- gtable_add_rows(panel_table, axis_height_top, 0)
panel_table <- gtable_add_rows(panel_table, axis_height_bottom, -1)
panel_table <- gtable_add_cols(panel_table, axis_width_left, 0)
panel_table <- gtable_add_cols(panel_table, axis_width_right, -1)
panel_pos_col <- panel_cols(panel_table)
panel_pos_rows <- panel_rows(panel_table)
panel_table <- gtable_add_grob(panel_table, axes$x$top, 1, panel_pos_col$l, clip = "off", name = paste0("axis-t-", seq_along(axes$x$top)), z = 3)
panel_table <- gtable_add_grob(panel_table, axes$x$bottom, -1, panel_pos_col$l, clip = "off", name = paste0("axis-b-", seq_along(axes$x$bottom)), z = 3)
panel_table <- gtable_add_grob(panel_table, axes$y$left, panel_pos_rows$t, 1, clip = "off", name = paste0("axis-l-", seq_along(axes$y$left)), z = 3)
panel_table <- gtable_add_grob(panel_table, axes$y$right, panel_pos_rows$t, -1, clip = "off", name = paste0("axis-r-", seq_along(axes$y$right)), z= 3)
# Add strips
switch_x <- !is.null(params$switch) && params$switch %in% c("both", "x")
switch_y <- !is.null(params$switch) && params$switch %in% c("both", "y")
inside_x <- (theme$strip.placement.x %||% theme$strip.placement %||% "inside") == "inside"
inside_y <- (theme$strip.placement.y %||% theme$strip.placement %||% "inside") == "inside"
strip_padding <- convertUnit(theme$strip.switch.pad.grid, "cm")
panel_pos_col <- panel_cols(panel_table)
if (switch_x) {
if (!is.null(strips$x$bottom)) {
if (inside_x || as.numeric(axis_height_bottom) == 0) {
panel_table <- gtable_add_rows(panel_table, max_height(strips$x$bottom), -2)
panel_table <- gtable_add_grob(panel_table, strips$x$bottom, -2, panel_pos_col$l, clip = "on", name = paste0("strip-b-", seq_along(strips$x$bottom)), z = 2)
} else {
panel_table <- gtable_add_rows(panel_table, strip_padding, -1)
panel_table <- gtable_add_rows(panel_table, max_height(strips$x$bottom), -1)
panel_table <- gtable_add_grob(panel_table, strips$x$bottom, -1, panel_pos_col$l, clip = "on", name = paste0("strip-b-", seq_along(strips$x$bottom)), z = 2)
}
}
} else {
if (!is.null(strips$x$top)) {
if (inside_x || as.numeric(axis_height_top) == 0) {
panel_table <- gtable_add_rows(panel_table, max_height(strips$x$top), 1)
panel_table <- gtable_add_grob(panel_table, strips$x$top, 2, panel_pos_col$l, clip = "on", name = paste0("strip-t-", seq_along(strips$x$top)), z = 2)
} else {
panel_table <- gtable_add_rows(panel_table, strip_padding, 0)
panel_table <- gtable_add_rows(panel_table, max_height(strips$x$top), 0)
panel_table <- gtable_add_grob(panel_table, strips$x$top, 1, panel_pos_col$l, clip = "on", name = paste0("strip-t-", seq_along(strips$x$top)), z = 2)
}
}
}
panel_pos_rows <- panel_rows(panel_table)
if (switch_y) {
if (!is.null(strips$y$left)) {
if (inside_y || as.numeric(axis_width_left) == 0) {
panel_table <- gtable_add_cols(panel_table, max_width(strips$y$left), 1)
panel_table <- gtable_add_grob(panel_table, strips$y$left, panel_pos_rows$t, 2, clip = "on", name = paste0("strip-l-", seq_along(strips$y$left)), z = 2)
} else {
panel_table <- gtable_add_cols(panel_table, strip_padding, 0)
panel_table <- gtable_add_cols(panel_table, max_width(strips$y$left), 0)
panel_table <- gtable_add_grob(panel_table, strips$y$left, panel_pos_rows$t, 1, clip = "on", name = paste0("strip-l-", seq_along(strips$y$left)), z = 2)
}
}
} else {
if (!is.null(strips$y$right)) {
if (inside_y || as.numeric(axis_width_right) == 0) {
panel_table <- gtable_add_cols(panel_table, max_width(strips$y$right), -2)
panel_table <- gtable_add_grob(panel_table, strips$y$right, panel_pos_rows$t, -2, clip = "on", name = paste0("strip-r-", seq_along(strips$y$right)), z = 2)
} else {
panel_table <- gtable_add_cols(panel_table, strip_padding, -1)
panel_table <- gtable_add_cols(panel_table, max_width(strips$y$right), -1)
panel_table <- gtable_add_grob(panel_table, strips$y$right, panel_pos_rows$t, -1, clip = "on", name = paste0("strip-r-", seq_along(strips$y$right)), z = 2)
}
}
}
panel_table
},
vars = function(self) {
names(c(self$params$rows, self$params$cols))
}
)
# Helpers -----------------------------------------------------------------
ulevels <- function(x) {
if (is.factor(x)) {
x <- addNA(x, TRUE)
factor(levels(x), levels(x), exclude = NULL)
} else {
sort(unique0(x))
}
}
|