Returns a standardized RIVM theme as a list for use with plotly charts, allowing customization of fonts, colors, grid, axis, legend, and tooltip styling.
Usage
ro_ply_theme(
barmode = "vgroup",
base_family = "RijksoverheidSansWebText",
title_color = ro_color(color_name = "lintblauw"),
title_size = 17,
y_axis_title_size = 13,
x_axis_title_size = 13,
axis_tick_size = 12,
axis_title_color = ro_color(color_name = "lintblauw"),
axis_tick_color = ro_color(color_name = "grijs_7"),
grid_color = ro_color(color_name = "grijs_3"),
grid_width = 0.25,
y_axis_showgrid = TRUE,
x_axis_showgrid = FALSE,
x_axis_tick_format = NULL,
y_axis_tick_format = ",.0f",
y_axis_showline = FALSE,
x_axis_showline = TRUE,
x_line_color = ro_color(color_name = "grijs_7"),
y_line_color = ro_color(color_name = "lintblauw"),
x_line_width = 1.5,
y_line_width = 0,
y_axis_spike = FALSE,
x_axis_spike = TRUE,
cross_hair_color = "#535353",
cross_hair_style = "dash",
cross_hair_width = 1,
colorway = c(ro_color(color_name = "hemelblauw"), ro_color(color_name = "donkergeel"),
ro_color(color_name = "robijnrood"), ro_color(color_name = "paars_tint90"),
ro_color(color_name = "mintgroen_tint110"), ro_color(color_name = "oranje"),
ro_color(color_name = "groen"), ro_color(color_name = "donkerbruin")),
legend_font_size = 13,
legend_color = ro_color(color_name = "grijs_7"),
plot_bgcolor = "#ffffff",
paper_bgcolor = "#ffffff",
tooltip_color = "#000000",
tooltip_border_color = "#000000",
tooltip_background_color = "#ffffff",
tooltip_font_size = 13
)Arguments
- barmode
Bar mode for bar charts. "vgroup" by default.
- base_family
Font family for all text (default = "RijksoverheidSansWebText").
- title_color
Color for the main title text.
- title_size
Font size for the main title.
- y_axis_title_size
Font size for y-axis title.
- x_axis_title_size
Font size for x-axis title.
- axis_tick_size
Font size for axis tick labels.
- axis_title_color
Color for axis titles.
- axis_tick_color
Color for axis tick labels and axis lines.
- grid_color
Color for grid lines.
- grid_width
Width of grid lines.
- y_axis_showgrid
Show grid lines for y-axis.
- x_axis_showgrid
Show grid lines for x-axis.
- x_axis_tick_format
Format string for x-axis tick labels (e.g., ",.0f" for thousands separator as comma, ".0%" for percent, ".0f" for no thousand seperator, for more information on time-formats see https://d3js.org/d3-time-format)
- y_axis_tick_format
Format string for x-axis tick labels (e.g., ",.0f" for thousands separator as comma, ".0%" for percent, ".0f" for no thousand seperator, for more information on time-formats see https://d3js.org/d3-time-format)
- y_axis_showline
Show y-axis line.
- x_axis_showline
Show x-axis line.
- x_line_color
Color for the x-axis line.
- y_line_color
Color for the y-axis line.
- x_line_width
Width of the x-axis line.
- y_line_width
Width of the y-axis line.
- y_axis_spike
Show crosshair/spike on y-axis.
- x_axis_spike
Show crosshair/spike on x-axis.
- cross_hair_color
Color for crosshair/spike lines.
- cross_hair_style
Style for crosshair/spike lines.
- cross_hair_width
Width for crosshair/spike lines.
- colorway
Colors for data series.
- legend_font_size
Font size for the legend.
- legend_color
Color for the legend text.
- plot_bgcolor
Plot background color.
- paper_bgcolor
Figure (paper) background color.
- tooltip_color
Font color for tooltips.
- tooltip_border_color
Border color for tooltips.
- tooltip_background_color
Background color for tooltips.
- tooltip_font_size
Font size for tooltips.
Value
A named list with plotly theming options, suitable for passing
to plotly::layout() or as a theme in a plotly chart.
See also
Other plotly:
ro_ply_add_theme(),
ro_ply_cursor(),
ro_ply_dim(),
ro_ply_disable_toolbar(),
ro_ply_focus_linechart(),
ro_ply_keyboard_nav_barchart(),
ro_ply_keyboard_nav_bargraph(),
ro_ply_keyboard_nav_legend(),
ro_ply_keyboard_nav_linechart(),
ro_ply_keyboard_nav_trendline(),
ro_ply_legend_theme(),
ro_ply_title()
Examples
if (FALSE) { # \dontrun{
# Example data: number of cases per age group and sex
stacked_data <- tibble::tibble(
Agegroup = rep(c("0-9", "10-19", "20-29", "30-39"), each = 3),
Sex = rep(c("Man", "Vrouw", "Onbekend"), times = 4),
n = c(10, 14, 2, 15, 17, 1, 23, 18, 0, 9, 11, 3)
)
# Define color palette using your color function
sex_colors <- c(
"Man" = ro_color("hemelblauw"),
"Vrouw" = ro_color("robijnrood"),
"Onbekend" = ro_color("donkergeel")
)
# Use ro_ply_theme with barmode = "stack"
theme_rivm <- ro_ply_theme(barmode = "stack")
# Create the plotly stacked bar chart
fig <- plotly::plot_ly(
data = stacked_data,
x = ~Agegroup,
y = ~n,
type = "bar",
color = ~Sex,
colors = sex_colors,
text = ~paste0(
"Leeftijdsgroep: <b>", Agegroup, "</b>",
"<br>Geslacht: <b>", Sex, "</b>",
"<br>Aantal cases: <b>",
format(round(n, 0), big.mark = ".", decimal.mark = ",", scientific = FALSE), "</b>"
),
hoverinfo = "text"
)
fig <- ro_ply_add_theme(fig, theme_rivm)
fig
} # }