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#' @rdname ggraph-extensions
#' @format NULL
#' @usage NULL
#' @importFrom dplyr %>% group_by mutate slice ungroup
#' @export
StatAxisHive <- ggproto('StatAxisHive', StatFilter,
setup_data = function(data, params) {
data <- data %>%
group_by(.data$angle, .data$section, .data$PANEL) %>%
mutate(
x = min(.data$r) * cos(.data$angle[1]) * 1.1,
y = min(.data$r) * sin(.data$angle[1]) * 1.1,
xend = max(.data$r) * cos(.data$angle[1]) * 1.1,
yend = max(.data$r) * sin(.data$angle[1]) * 1.1,
max_r = max(.data$r),
min_r = min(.data$r)
) %>%
slice(1) %>%
ungroup()
data_frame0(data)
},
required_aes = c('r', 'angle', 'center_size', 'axis', 'section'),
extra_params = c('na.rm', 'n', 'curvature')
)
#' @rdname ggraph-extensions
#' @format NULL
#' @usage NULL
#' @importFrom grid textGrob nullGrob
#' @importFrom dplyr %>% group_by summarise
#' @export
GeomAxisHive <- ggproto('GeomAxisHive', GeomSegment,
draw_panel = function(data, panel_scales, coord, label = TRUE, axis = TRUE, label_colour = 'black') {
data$x <- data$x / 1.1
data$y <- data$y / 1.1
data$xend <- data$xend / 1.1
data$yend <- data$yend / 1.1
data <- coord$transform(data, panel_scales)
label_data <- data %>%
group_by(.data$axis) %>%
summarise(
x = max(.data$max_r) * cos(mean(.data$angle)),
y = max(.data$max_r) * sin(mean(.data$angle)),
label = .data$axis[1],
angle = mean(.data$angle) / (2 * pi) * 360 - 90,
colour = .data$colour[1],
label_size = .data$label_size[1],
family = .data$family[1],
fontface = .data$fontface[1],
lineheight = .data$lineheight[1]
)
label_data <- data_frame0(label_data)
lab_dist <- sqrt(label_data$x^2 + label_data$y^2)
dist_dodge <- max(lab_dist) * 1.05 - max(lab_dist)
label_data$x <- label_data$x * (dist_dodge + lab_dist) / lab_dist
label_data$y <- label_data$y * (dist_dodge + lab_dist) / lab_dist
label_data$angle <- label_data$angle + ifelse(label_data$angle < 0, 360, 0)
label_data$angle <- label_data$angle - ifelse(label_data$angle > 360, 360, 0)
upside_label <- label_data$angle > 90 & label_data$angle < 270
label_data$angle[upside_label] <- label_data$angle[upside_label] + 180
label_data <- coord$transform(label_data, panel_scales)
label_data$label_colour <- if (is.na(label_colour)) {
label_data$colour
} else {
label_colour
}
label_grob <- if (label) {
textGrob(label_data$label, label_data$x, label_data$y,
default.units = 'native', rot = label_data$angle,
gp = gpar(
col = label_data$label_colour,
fontsize = label_data$label_size * .pt,
fontfamily = label_data$family,
fontface = label_data$fontface,
lineheight = label_data$lineheight
)
)
} else {
nullGrob()
}
axis_grob <- if (axis) {
segmentsGrob(data$x, data$y, data$xend, data$yend,
default.units = 'native',
gp = gpar(
col = alpha(data$colour, data$alpha),
fill = alpha(data$colour, data$alpha),
lwd = data$size * .pt,
lty = data$linetype,
lineend = 'square'
)
)
} else {
nullGrob()
}
gList(axis_grob, label_grob)
},
default_aes = aes(
colour = 'black', size = 0.5, linetype = 1, alpha = NA,
label_size = 3.88, family = '', fontface = 1,
lineheight = 1.2
)
)
#' Draw rectangular bars and labels on hive axes
#'
#' This function lets you annotate the axes in a hive plot with labels and
#' color coded bars.
#'
#' @inheritParams ggplot2::geom_point
#'
#' @param label Should the axes be labelled. Defaults to `TRUE`
#'
#' @param axis Should a rectangle be drawn along the axis. Defaults to `TRUE`
#'
#' @section Aesthetics:
#' geom_axis_hive understand the following aesthetics.
#' \itemize{
#' \item{alpha}
#' \item{colour}
#' \item{fill}
#' \item{size}
#' \item{linetype}
#' \item{label_size}
#' \item{family}
#' \item{fontface}
#' \item{lineheight}
#' }
#'
#' @author Thomas Lin Pedersen
#'
#' @export
#'
#' @examples
#' # Plot the flare import graph as a hive plot
#' library(tidygraph)
#' flareGr <- as_tbl_graph(flare$imports) %>%
#' mutate(
#' type = dplyr::case_when(
#' centrality_degree(mode = 'in') == 0 ~ 'Source',
#' centrality_degree(mode = 'out') == 0 ~ 'Sink',
#' TRUE ~ 'Both'
#' )
#' ) %>%
#' activate(edges) %>%
#' mutate(
#' type = dplyr::case_when(
#' grepl('flare.analytics', paste(.N()$name[from], .N()$name[to])) ~ 'Analytics',
#' TRUE ~ 'Other'
#' )
#' )
#' ggraph(flareGr, 'hive', axis = type) +
#' geom_edge_hive(aes(colour = type), edge_alpha = 0.1) +
#' geom_axis_hive(aes(colour = type)) +
#' coord_fixed()
geom_axis_hive <- function(mapping = NULL, data = NULL,
position = 'identity', label = TRUE, axis = TRUE, show.legend = NA, ...) {
mapping <- aes_intersect(mapping, aes(r = r, angle = angle,
center_size = center_size,
axis = axis, section = section))
layer(
data = data, mapping = mapping, stat = StatAxisHive,
geom = GeomAxisHive, position = position, show.legend = show.legend,
inherit.aes = FALSE,
params = list(na.rm = FALSE, label = label, axis = axis, ...)
)
}
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