R/geom_arrow.R
In eliocamp/metR: Tools for Easier Analysis of Meteorological Fields
Defines functions
geom_vector
geom_arrow
Documented in
geom_arrow
geom_vector
#' Arrows
#'
#' Parametrization of [ggplot2::geom_segment] either by location and displacement
#' or by magnitude and angle with default arrows. `geom_arrow()` is the same as
#' `geom_vector()` but defaults to preserving the direction under coordinate
#' transformation and different plot ratios.
#'
#' @param min.mag minimum magnitude for plotting vectors
#' @param skip,skip.x,skip.y numeric specifying number of gridpoints not to draw
#' in the x and y direction
#' @param arrow.length,arrow.angle,arrow.ends,arrow.type parameters passed to
#' [grid::arrow]
#' @inheritParams ggplot2::geom_segment
#' @param direction direction of rotation (counter-clockwise or clockwise)
#' @param start starting angle for rotation in degrees
#' @param pivot numeric indicating where to pivot the arrow where 0 means at the
#' beginning and 1 means at the end.
#' @param preserve.dir logical indicating whether to preserve direction or not
#'
#' @details
#' Direction and start allows to work with different standards. For the
#' meteorological standard, for example, use `star = -90` and `direction = "cw"`.
#'
#' @section Aesthetics:
#' `geom_vector` understands the following aesthetics (required aesthetics are in bold)
#'
#' \itemize{
#' \item **x**
#' \item **y**
#' \item either **mag** and **angle**, or **dx** and **dy**
#' \item \code{alpha}
#' \item \code{colour}
#' \item \code{linetype}
#' \item \code{size}
#' \item \code{lineend}
#' }
#'
#' @examples
#' library(data.table)
#' library(ggplot2)
#'
#' data(seals)
#' # If the velocity components are in the same units as the axis,
#' # geom_vector() (or geom_arrow(preserve.dir = TRUE)) might be a better option
#' ggplot(seals, aes(long, lat)) +
#' geom_arrow(aes(dx = delta_long, dy = delta_lat), skip = 1, color = "red") +
#' geom_vector(aes(dx = delta_long, dy = delta_lat), skip = 1) +
#' scale_mag()
#'
#' data(geopotential)
#' geopotential <- copy(geopotential)[date == date[1]]
#' geopotential[, gh.z := Anomaly(gh), by = .(lat)]
#' geopotential[, c("u", "v") := GeostrophicWind(gh.z, lon, lat)]
#'
#' (g <- ggplot(geopotential, aes(lon, lat)) +
#' geom_arrow(aes(dx = dlon(u, lat), dy = dlat(v)), skip.x = 3, skip.y = 2,
#' color = "red") +
#' geom_vector(aes(dx = dlon(u, lat), dy = dlat(v)), skip.x = 3, skip.y = 2) +
#' scale_mag(max_size = 2, guide = "none"))
#'
#' # A dramatic illustration of the difference between arrow and vector
#' g + coord_polar()
#'
#' # When plotting winds in a lat-lon grid, a good way to have both
#' # the correct direction and an interpretable magnitude is to define
#' # the angle by the longitud and latitude displacement and the magnitude
#' # by the wind velocity. That way arrows are always parallel to streamlines
#' # and their magnitude are in the correct units.
#' ggplot(geopotential, aes(lon, lat)) +
#' geom_contour(aes(z = gh.z)) +
#' geom_vector(aes(angle = atan2(dlat(v), dlon(u, lat))*180/pi,
#' mag = Mag(v, u)), skip = 1, pivot = 0.5) +
#' scale_mag()
#'
#' # Sverdrup transport
#' library(data.table)
#' b <- 10
#' d <- 10
#' grid <- as.data.table(expand.grid(x = seq(1, d, by = 0.5),
#' y = seq(1, b, by = 0.5)))
#' grid[, My := -sin(pi*y/b)*pi/b]
#' grid[, Mx := -pi^2/b^2*cos(pi*y/b)*(d - x)]
#'
#' ggplot(grid, aes(x, y)) +
#' geom_arrow(aes(dx = Mx, dy = My))
#'
#' # Due to limitations in ggplot2 (see: https://github.com/tidyverse/ggplot2/issues/4291),
#' # if you define the vector with the dx and dy aesthetics, you need
#' # to explicitly add scale_mag() in order to show the arrow legend.
#'
#' ggplot(grid, aes(x, y)) +
#' geom_arrow(aes(dx = Mx, dy = My)) +
#' scale_mag()
#'
#' # Alternative, use Mag and Angle.
#' ggplot(grid, aes(x, y)) +
#' geom_arrow(aes(mag = Mag(Mx, My), angle = Angle(Mx, My)))
#'
#' @export
#' @family ggplot2 helpers
geom_arrow <- function(mapping = NULL, data = NULL,
stat = "arrow",
position = "identity",
...,
start = 0,
direction = c("ccw", "cw"),
pivot = 0.5,
preserve.dir = TRUE,
min.mag = 0,
skip = 0,
skip.x = skip,
skip.y = skip,
arrow.angle = 15,
arrow.length = 0.5,
arrow.ends = "last",
arrow.type = "closed",
arrow = grid::arrow(arrow.angle, grid::unit(arrow.length, "lines"),
ends = arrow.ends, type = arrow.type),
lineend = "butt",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE) {
ggplot2::layer(geom = GeomArrow,
mapping = mapping,
data = data,
stat = stat,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
start = start,
direction = direction,
pivot = pivot,
preserve.dir = preserve.dir,
arrow = arrow,
lineend = lineend,
na.rm = na.rm,
skip.x = skip.x,
skip.y = skip.y,
min.mag = min.mag,
...)
)
}
#' @export
#' @rdname geom_arrow
geom_vector <- function(mapping = NULL, data = NULL,
stat = "arrow",
position = "identity",
...,
start = 0,
direction = c("ccw", "cw"),
pivot = 0.5,
preserve.dir = FALSE,
min.mag = 0,
skip = 0,
skip.x = skip,
skip.y = skip,
arrow.angle = 15,
arrow.length = 0.5,
arrow.ends = "last",
arrow.type = "closed",
arrow = grid::arrow(arrow.angle, grid::unit(arrow.length, "lines"),
ends = arrow.ends, type = arrow.type),
lineend = "butt",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE) {
ggplot2::layer(geom = GeomArrow,
mapping = mapping,
data = data,
stat = stat,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
start = start,
direction = direction,
pivot = pivot,
preserve.dir = preserve.dir,
arrow = arrow,
lineend = lineend,
na.rm = na.rm,
skip.x = skip.x,
skip.y = skip.y,
min.mag = min.mag,
...)
)
}
draw_key_vector <- function (data, params, size) {
data$linetype[is.na(data$linetype)] <- 0
grid::segmentsGrob(0.1, 0.5, 0.9, 0.5,
gp = grid::gpar(col = ggplot2::alpha(data$colour, data$alpha),
lwd = data$size * ggplot2::.pt,
lty = data$linetype,
lineend = "butt"),
arrow = params$arrow)
}
#' @rdname geom_arrow
#' @usage NULL
#' @format NULL
#' @export
GeomArrow <- ggplot2::ggproto("GeomArrow", ggplot2::Geom,
required_aes = c("x", "y"),
default_aes = ggplot2::aes(color = "black", size = 0.5, min.mag = 0,
linetype = 1, alpha = NA,
angle = 0, mag = 0),
draw_key = draw_key_vector,
draw_panel = function(data, panel_scales, coord,
arrow = arrow, lineend = lineend,
start = start, direction = direction,
preserve.dir = FALSE, pivot = 0.5) {
if (!is.finite(pivot)) {
stopf("'pivot' must be a number between 0 and 1.", call. = FALSE)
}
if (pivot > 1) {
pivot <- 1
warningf("'pivot' greater than 1, setting it to 1.", call. = FALSE)
}
if (pivot < 0) {
pivot <- 0
warningf("'pivot' less than 0, setting it to 0.", call. = FALSE)
}
mag <- data$norm_mag
if ("simpleUnit" %in% class(unit(1, "mm"))) {
arrow$length <- mag*arrow$length
} else {
arrow$length <- unit(as.numeric(arrow$length)*mag,
attr(arrow$length, "unit"))
}
if (preserve.dir == FALSE) {
# For non linear coords
data$group <- seq(nrow(data))
data$piece <- 1
data2 <- data
data2$piece <- 2
# Approximation for non linear coords.
data2$x <- with(data, x + dx/10000)
data2$y <- with(data, y + dy/10000)
coords <- coord$transform(data, panel_scales)
coords2 <- coord$transform(data2, panel_scales)
coords$xend <- coords2$x
coords$yend <- coords2$y
coords$dx <- with(coords, xend - x)/100
coords$dy <- with(coords, yend - y)/100
pol <- vectorGrob(x = coords$x, y = coords$y,
dx = coords$dx, dy = coords$dy,
length = unit(coords$mag, "cm"),
pivot = pivot,
preserve.dir = preserve.dir,
default.units = "npc",
arrow = arrow,
gp = grid::gpar(col = coords$colour,
fill = scales::alpha(coords$colour, coords$alpha),
alpha = ifelse(is.na(coords$alpha), 1, coords$alpha),
lwd = coords$size*.pt,
lty = coords$linetype,
lineend = lineend))
} else {
coords <- coord$transform(data, panel_scales)
pol <- arrowGrob(x = coords$x, y = coords$y,
angle = coords$angle,
length = unit(coords$mag, "cm"),
pivot = pivot,
preserve.dir = preserve.dir,
default.units = "native",
arrow = arrow,
gp = grid::gpar(col = coords$colour,
fill = scales::alpha(coords$colour, coords$alpha),
alpha = ifelse(is.na(coords$alpha), 1, coords$alpha),
lwd = coords$size*.pt,
lty = coords$linetype,
lineend = lineend))
}
pol
})
#' @rdname geom_arrow
#' @usage NULL
#' @format NULL
#' @export
StatArrow <- ggplot2::ggproto("StatArrow", ggplot2::Stat,
required_aes = c("x", "y"),
default_aes = ggplot2::aes(min.mag = 0, dx = NULL, dy = NULL,
mag = NULL, angle = NULL),
compute_group = function(self, data, scales,
skip.x = skip.x, skip.y = skip.y,
min.mag = min.mag, start = 0, direction = -1,
preserve.dir = TRUE, ...) {
data
},
setup_data = function(data, params) {
params$direction <- switch(params$direction[1],
ccw = -1,
cw = 1,
stopf("'direction' must be either \"ccw\" or \"cw\"", call. = FALSE)
)
if (is.null(data$mag) | is.null(data$angle)) {
if (is.null(data$dx) | is.null(data$dy)) {
stopf("stat_arrow needs wither 'mag' and 'angle' or 'dx' and 'dy'.", call. = FALSE)
}
data$mag <- with(data, Mag(dx, dy))
data$angle <- with(data, atan2(dy, dx)*180/pi)
} else {
# Turn into mathematical angle
data$angle <- params$start - data$angle*params$direction
data$dx <- with(data, mag*cos(angle*pi/180))
data$dy <- with(data, mag*sin(angle*pi/180))
}
data <- subset(data, x %in% JumpBy(sort(unique(x)), params$skip.x + 1) &
y %in% JumpBy(sort(unique(y)), params$skip.y + 1) &
mag >= params$min.mag)
data$norm_mag <- with(data, mag/max(mag, na.rm = TRUE))
data
},
compute_panel = function(self, data, scales,
skip.x = 0, skip.y = 0,
min.mag = 0, start = 0, direction = -1,
preserve.dir = TRUE, ...) {
if (plyr::empty(data)) return(data.frame())
groups <- split(data, data$group)
stats <- lapply(groups, function(group) {
self$compute_group(data = group, scales = scales, ...)
})
stats <- mapply(function(new, old) {
if (plyr::empty(new)) return(data.frame())
unique <- ggplot2:::uniquecols(old)
missing <- !(names(unique) %in% names(new))
cbind(
new,
unique[rep(1, nrow(new)), missing,drop = FALSE]
)
}, stats, groups, SIMPLIFY = FALSE)
data <- do.call(plyr::rbind.fill, stats)
min.mag <- data$min.mag %||% min.mag
# Warnings for good usage
if (preserve.dir == FALSE) {
if (scales$x$is_discrete() | scales$y$is_discrete()) {
warningf("The use of preserve.dir = FALSE with discrete scales is not recommended.", call. = FALSE)
}
trans_name <- scales$x$trans$name
if (trans_name == "date") {
warningf("The use of preserve.dir = FALSE with date scales is not recommended.", call. = FALSE)
}
}
data
}
)
eliocamp/metR documentation built on Feb. 15, 2024, 1:23 p.m.
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Defines functions geom_vector geom_arrow
Documented in geom_arrow geom_vector
#' Arrows
#'
#' Parametrization of [ggplot2::geom_segment] either by location and displacement
#' or by magnitude and angle with default arrows. `geom_arrow()` is the same as
#' `geom_vector()` but defaults to preserving the direction under coordinate
#' transformation and different plot ratios.
#'
#' @param min.mag minimum magnitude for plotting vectors
#' @param skip,skip.x,skip.y numeric specifying number of gridpoints not to draw
#' in the x and y direction
#' @param arrow.length,arrow.angle,arrow.ends,arrow.type parameters passed to
#' [grid::arrow]
#' @inheritParams ggplot2::geom_segment
#' @param direction direction of rotation (counter-clockwise or clockwise)
#' @param start starting angle for rotation in degrees
#' @param pivot numeric indicating where to pivot the arrow where 0 means at the
#' beginning and 1 means at the end.
#' @param preserve.dir logical indicating whether to preserve direction or not
#'
#' @details
#' Direction and start allows to work with different standards. For the
#' meteorological standard, for example, use `star = -90` and `direction = "cw"`.
#'
#' @section Aesthetics:
#' `geom_vector` understands the following aesthetics (required aesthetics are in bold)
#'
#' \itemize{
#' \item **x**
#' \item **y**
#' \item either **mag** and **angle**, or **dx** and **dy**
#' \item \code{alpha}
#' \item \code{colour}
#' \item \code{linetype}
#' \item \code{size}
#' \item \code{lineend}
#' }
#'
#' @examples
#' library(data.table)
#' library(ggplot2)
#'
#' data(seals)
#' # If the velocity components are in the same units as the axis,
#' # geom_vector() (or geom_arrow(preserve.dir = TRUE)) might be a better option
#' ggplot(seals, aes(long, lat)) +
#' geom_arrow(aes(dx = delta_long, dy = delta_lat), skip = 1, color = "red") +
#' geom_vector(aes(dx = delta_long, dy = delta_lat), skip = 1) +
#' scale_mag()
#'
#' data(geopotential)
#' geopotential <- copy(geopotential)[date == date[1]]
#' geopotential[, gh.z := Anomaly(gh), by = .(lat)]
#' geopotential[, c("u", "v") := GeostrophicWind(gh.z, lon, lat)]
#'
#' (g <- ggplot(geopotential, aes(lon, lat)) +
#' geom_arrow(aes(dx = dlon(u, lat), dy = dlat(v)), skip.x = 3, skip.y = 2,
#' color = "red") +
#' geom_vector(aes(dx = dlon(u, lat), dy = dlat(v)), skip.x = 3, skip.y = 2) +
#' scale_mag(max_size = 2, guide = "none"))
#'
#' # A dramatic illustration of the difference between arrow and vector
#' g + coord_polar()
#'
#' # When plotting winds in a lat-lon grid, a good way to have both
#' # the correct direction and an interpretable magnitude is to define
#' # the angle by the longitud and latitude displacement and the magnitude
#' # by the wind velocity. That way arrows are always parallel to streamlines
#' # and their magnitude are in the correct units.
#' ggplot(geopotential, aes(lon, lat)) +
#' geom_contour(aes(z = gh.z)) +
#' geom_vector(aes(angle = atan2(dlat(v), dlon(u, lat))*180/pi,
#' mag = Mag(v, u)), skip = 1, pivot = 0.5) +
#' scale_mag()
#'
#' # Sverdrup transport
#' library(data.table)
#' b <- 10
#' d <- 10
#' grid <- as.data.table(expand.grid(x = seq(1, d, by = 0.5),
#' y = seq(1, b, by = 0.5)))
#' grid[, My := -sin(pi*y/b)*pi/b]
#' grid[, Mx := -pi^2/b^2*cos(pi*y/b)*(d - x)]
#'
#' ggplot(grid, aes(x, y)) +
#' geom_arrow(aes(dx = Mx, dy = My))
#'
#' # Due to limitations in ggplot2 (see: https://github.com/tidyverse/ggplot2/issues/4291),
#' # if you define the vector with the dx and dy aesthetics, you need
#' # to explicitly add scale_mag() in order to show the arrow legend.
#'
#' ggplot(grid, aes(x, y)) +
#' geom_arrow(aes(dx = Mx, dy = My)) +
#' scale_mag()
#'
#' # Alternative, use Mag and Angle.
#' ggplot(grid, aes(x, y)) +
#' geom_arrow(aes(mag = Mag(Mx, My), angle = Angle(Mx, My)))
#'
#' @export
#' @family ggplot2 helpers
geom_arrow <- function(mapping = NULL, data = NULL,
stat = "arrow",
position = "identity",
...,
start = 0,
direction = c("ccw", "cw"),
pivot = 0.5,
preserve.dir = TRUE,
min.mag = 0,
skip = 0,
skip.x = skip,
skip.y = skip,
arrow.angle = 15,
arrow.length = 0.5,
arrow.ends = "last",
arrow.type = "closed",
arrow = grid::arrow(arrow.angle, grid::unit(arrow.length, "lines"),
ends = arrow.ends, type = arrow.type),
lineend = "butt",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE) {
ggplot2::layer(geom = GeomArrow,
mapping = mapping,
data = data,
stat = stat,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
start = start,
direction = direction,
pivot = pivot,
preserve.dir = preserve.dir,
arrow = arrow,
lineend = lineend,
na.rm = na.rm,
skip.x = skip.x,
skip.y = skip.y,
min.mag = min.mag,
...)
)
}
#' @export
#' @rdname geom_arrow
geom_vector <- function(mapping = NULL, data = NULL,
stat = "arrow",
position = "identity",
...,
start = 0,
direction = c("ccw", "cw"),
pivot = 0.5,
preserve.dir = FALSE,
min.mag = 0,
skip = 0,
skip.x = skip,
skip.y = skip,
arrow.angle = 15,
arrow.length = 0.5,
arrow.ends = "last",
arrow.type = "closed",
arrow = grid::arrow(arrow.angle, grid::unit(arrow.length, "lines"),
ends = arrow.ends, type = arrow.type),
lineend = "butt",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE) {
ggplot2::layer(geom = GeomArrow,
mapping = mapping,
data = data,
stat = stat,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
start = start,
direction = direction,
pivot = pivot,
preserve.dir = preserve.dir,
arrow = arrow,
lineend = lineend,
na.rm = na.rm,
skip.x = skip.x,
skip.y = skip.y,
min.mag = min.mag,
...)
)
}
draw_key_vector <- function (data, params, size) {
data$linetype[is.na(data$linetype)] <- 0
grid::segmentsGrob(0.1, 0.5, 0.9, 0.5,
gp = grid::gpar(col = ggplot2::alpha(data$colour, data$alpha),
lwd = data$size * ggplot2::.pt,
lty = data$linetype,
lineend = "butt"),
arrow = params$arrow)
}
#' @rdname geom_arrow
#' @usage NULL
#' @format NULL
#' @export
GeomArrow <- ggplot2::ggproto("GeomArrow", ggplot2::Geom,
required_aes = c("x", "y"),
default_aes = ggplot2::aes(color = "black", size = 0.5, min.mag = 0,
linetype = 1, alpha = NA,
angle = 0, mag = 0),
draw_key = draw_key_vector,
draw_panel = function(data, panel_scales, coord,
arrow = arrow, lineend = lineend,
start = start, direction = direction,
preserve.dir = FALSE, pivot = 0.5) {
if (!is.finite(pivot)) {
stopf("'pivot' must be a number between 0 and 1.", call. = FALSE)
}
if (pivot > 1) {
pivot <- 1
warningf("'pivot' greater than 1, setting it to 1.", call. = FALSE)
}
if (pivot < 0) {
pivot <- 0
warningf("'pivot' less than 0, setting it to 0.", call. = FALSE)
}
mag <- data$norm_mag
if ("simpleUnit" %in% class(unit(1, "mm"))) {
arrow$length <- mag*arrow$length
} else {
arrow$length <- unit(as.numeric(arrow$length)*mag,
attr(arrow$length, "unit"))
}
if (preserve.dir == FALSE) {
# For non linear coords
data$group <- seq(nrow(data))
data$piece <- 1
data2 <- data
data2$piece <- 2
# Approximation for non linear coords.
data2$x <- with(data, x + dx/10000)
data2$y <- with(data, y + dy/10000)
coords <- coord$transform(data, panel_scales)
coords2 <- coord$transform(data2, panel_scales)
coords$xend <- coords2$x
coords$yend <- coords2$y
coords$dx <- with(coords, xend - x)/100
coords$dy <- with(coords, yend - y)/100
pol <- vectorGrob(x = coords$x, y = coords$y,
dx = coords$dx, dy = coords$dy,
length = unit(coords$mag, "cm"),
pivot = pivot,
preserve.dir = preserve.dir,
default.units = "npc",
arrow = arrow,
gp = grid::gpar(col = coords$colour,
fill = scales::alpha(coords$colour, coords$alpha),
alpha = ifelse(is.na(coords$alpha), 1, coords$alpha),
lwd = coords$size*.pt,
lty = coords$linetype,
lineend = lineend))
} else {
coords <- coord$transform(data, panel_scales)
pol <- arrowGrob(x = coords$x, y = coords$y,
angle = coords$angle,
length = unit(coords$mag, "cm"),
pivot = pivot,
preserve.dir = preserve.dir,
default.units = "native",
arrow = arrow,
gp = grid::gpar(col = coords$colour,
fill = scales::alpha(coords$colour, coords$alpha),
alpha = ifelse(is.na(coords$alpha), 1, coords$alpha),
lwd = coords$size*.pt,
lty = coords$linetype,
lineend = lineend))
}
pol
})
#' @rdname geom_arrow
#' @usage NULL
#' @format NULL
#' @export
StatArrow <- ggplot2::ggproto("StatArrow", ggplot2::Stat,
required_aes = c("x", "y"),
default_aes = ggplot2::aes(min.mag = 0, dx = NULL, dy = NULL,
mag = NULL, angle = NULL),
compute_group = function(self, data, scales,
skip.x = skip.x, skip.y = skip.y,
min.mag = min.mag, start = 0, direction = -1,
preserve.dir = TRUE, ...) {
data
},
setup_data = function(data, params) {
params$direction <- switch(params$direction[1],
ccw = -1,
cw = 1,
stopf("'direction' must be either \"ccw\" or \"cw\"", call. = FALSE)
)
if (is.null(data$mag) | is.null(data$angle)) {
if (is.null(data$dx) | is.null(data$dy)) {
stopf("stat_arrow needs wither 'mag' and 'angle' or 'dx' and 'dy'.", call. = FALSE)
}
data$mag <- with(data, Mag(dx, dy))
data$angle <- with(data, atan2(dy, dx)*180/pi)
} else {
# Turn into mathematical angle
data$angle <- params$start - data$angle*params$direction
data$dx <- with(data, mag*cos(angle*pi/180))
data$dy <- with(data, mag*sin(angle*pi/180))
}
data <- subset(data, x %in% JumpBy(sort(unique(x)), params$skip.x + 1) &
y %in% JumpBy(sort(unique(y)), params$skip.y + 1) &
mag >= params$min.mag)
data$norm_mag <- with(data, mag/max(mag, na.rm = TRUE))
data
},
compute_panel = function(self, data, scales,
skip.x = 0, skip.y = 0,
min.mag = 0, start = 0, direction = -1,
preserve.dir = TRUE, ...) {
if (plyr::empty(data)) return(data.frame())
groups <- split(data, data$group)
stats <- lapply(groups, function(group) {
self$compute_group(data = group, scales = scales, ...)
})
stats <- mapply(function(new, old) {
if (plyr::empty(new)) return(data.frame())
unique <- ggplot2:::uniquecols(old)
missing <- !(names(unique) %in% names(new))
cbind(
new,
unique[rep(1, nrow(new)), missing,drop = FALSE]
)
}, stats, groups, SIMPLIFY = FALSE)
data <- do.call(plyr::rbind.fill, stats)
min.mag <- data$min.mag %||% min.mag
# Warnings for good usage
if (preserve.dir == FALSE) {
if (scales$x$is_discrete() | scales$y$is_discrete()) {
warningf("The use of preserve.dir = FALSE with discrete scales is not recommended.", call. = FALSE)
}
trans_name <- scales$x$trans$name
if (trans_name == "date") {
warningf("The use of preserve.dir = FALSE with date scales is not recommended.", call. = FALSE)
}
}
data
}
)
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