spiral_horizon | R Documentation |
Draw horizon chart along the spiral
spiral_horizon(x, y, y_max = max(abs(y)), n_slices = 4, slice_size, pos_fill = "#D73027", neg_fill = "#313695", use_bars = FALSE, bar_width = min(diff(x)), negative_from_top = FALSE, track_index = current_track_index())
x |
X-locations of the data points. |
y |
Y-locations of the data points. |
y_max |
Maximal absolute value on y-axis. |
n_slices |
Number of slices. |
slice_size |
Size of the slices. The final number of sizes is |
pos_fill |
Colors for positive values. |
neg_fill |
Colors for negative values. |
use_bars |
Whether to use bars? |
bar_width |
Width of bars. |
negative_from_top |
Should negative distribution be drawn from the top? |
track_index |
Index of the track. |
Since the track height is very small in the spiral, horizon chart visualization is a efficient way to visualize distribution-like graphics.
A list of the following objects:
a color mapping function for colors.
a vector of intervals that split the data.
df = readRDS(system.file("extdata", "global_temperature.rds", package = "spiralize")) df = df[df$Source == "GCAG", ] spiral_initialize_by_time(xlim = range(df$Date), unit_on_axis = "months", period = "year", period_per_loop = 20, polar_lines_by = 360/20, vp_param = list(x = unit(0, "npc"), just = "left")) spiral_track() spiral_horizon(df$Date, df$Mean, use_bar = TRUE)
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