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This vignette shows how to use pie chart and donut (ring) nodes in
cograph to display additional data dimensions on each
node.
states <- c("Read", "Watch", "Try", "Ask", "Discuss",
"Review", "Search", "Reflect", "Submit")
mat <- matrix(c(
0.00, 0.25, 0.15, 0.00, 0.10, 0.00, 0.08, 0.00, 0.00,
0.10, 0.00, 0.30, 0.00, 0.00, 0.12, 0.00, 0.00, 0.00,
0.00, 0.10, 0.00, 0.20, 0.00, 0.00, 0.00, 0.15, 0.25,
0.05, 0.00, 0.10, 0.00, 0.30, 0.00, 0.00, 0.00, 0.00,
0.00, 0.00, 0.00, 0.15, 0.00, 0.20, 0.00, 0.18, 0.00,
0.12, 0.08, 0.00, 0.00, 0.00, 0.00, 0.10, 0.00, 0.20,
0.00, 0.00, 0.15, 0.00, 0.00, 0.10, 0.00, 0.00, 0.12,
0.00, 0.00, 0.10, 0.00, 0.12, 0.00, 0.00, 0.00, 0.28,
0.00, 0.00, 0.00, 0.00, 0.00, 0.10, 0.00, 0.05, 0.00
), nrow = 9, byrow = TRUE, dimnames = list(states, states))Use donut_fill with values between 0 and 1 to show a
progress ring on each node.
splot(mat, node_size = 9,
donut_fill = c(0.9, 0.7, 0.5, 0.8, 0.6, 0.95, 0.3, 0.75, 0.4),
donut_color = palette_rainbow(9))splot(mat, node_size = 9,
donut_fill = c(0.9, 0.7, 0.5, 0.8, 0.6, 0.95, 0.3, 0.75, 0.4),
donut_color = palette_colorblind(9),
donut_show_value = TRUE,
donut_value_digits = 2,
label_position = "below")splot(mat, node_size = 9,
donut_fill = c(0.9, 0.7, 0.5, 0.8, 0.6, 0.95, 0.3, 0.75, 0.4),
donut_color = palette_pastel(9),
donut_shape = "hexagon")splot(mat, node_size = 9,
donut_fill = c(0.9, 0.7, 0.5, 0.8, 0.6, 0.95, 0.3, 0.75, 0.4),
donut_color = palette_rainbow(9),
donut_bg_color = "#2C3E50",
donut_inner_ratio = 0.7)splot(mat, node_size = 9,
donut_fill = c(0.9, 0.7, 0.5, 0.8, 0.6, 0.95, 0.3, 0.75, 0.4),
donut_color = palette_colorblind(9),
donut_border_color = "white",
donut_outer_border_color = "black")Use pie_values to divide each node into colored
segments.
set.seed(42)
pie_vals <- lapply(1:9, function(i) {
v <- runif(3)
v / sum(v)
})
splot(mat, node_size = 9,
pie_values = pie_vals,
pie_colors = rep(list(c("#E41A1C", "#377EB8", "#4DAF4A")), 9))splot(mat, node_size = 9,
pie_values = pie_vals,
pie_colors = rep(list(c("#F39C12", "#8E44AD", "#1ABC9C")), 9),
theme = "minimal")Outer donut ring shows progress, inner pie shows category breakdown.
splot(mat, node_size = 9,
donut_fill = c(0.9, 0.7, 0.5, 0.8, 0.6, 0.95, 0.3, 0.75, 0.4),
donut_color = palette_rainbow(9),
donut_inner_ratio = 0.6,
pie_values = pie_vals,
pie_colors = rep(list(c("#E41A1C", "#377EB8", "#4DAF4A")), 9))splot(mat, node_size = 9,
donut_fill = c(0.9, 0.7, 0.5, 0.8, 0.6, 0.95, 0.3, 0.75, 0.4),
donut_color = palette_rainbow(9),
donut_show_value = TRUE,
donut_value_digits = 2,
edge_labels = TRUE,
label_position = "below",
theme = "dark")splot(mat, node_size = 9,
donut_fill = c(0.9, 0.7, 0.5, 0.8, 0.6, 0.95, 0.3, 0.75, 0.4),
donut_color = palette_rainbow(9),
donut_inner_ratio = 0.6,
donut_show_value = TRUE,
donut_value_digits = 2,
donut_border_color = "white",
donut_outer_border_color = "black",
pie_values = pie_vals,
pie_colors = rep(list(c("#E41A1C", "#377EB8", "#4DAF4A")), 9),
label_position = "below",
edge_labels = TRUE)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.