fig_height_h_barchart2: Estimate figure height for a horizontal bar chart

Description

Taking an object from makeme(), this function estimates the height of a figure for a horizontal bar chart.

Usage

fig_height_h_barchart2(
  ggobj,
  main_font_size = 7,
  strip_angle = 0,
  freq = FALSE,
  x_axis_label_width = 20,
  strip_width = 20,
  legend_location = c("plot", "panel"),
  n_legend_lines = NULL,
  showNA = c("ifany", "never", "always"),
  legend_key_chars_equivalence = 5,
  multiplier_per_horizontal_line = NULL,
  multiplier_per_vertical_letter = 1,
  multiplier_per_facet = 1,
  multiplier_per_legend_line = 1,
  fixed_constant = 0,
  figure_width_in_cm = 14,
  margin_in_cm = 0,
  max = 8,
  min = 1
)

Value

Numeric value representing the estimated height of the figure.

Arguments

ggobj: ggplot2-object
main_font_size: Numeric. Font size for the main text.
strip_angle: Integer. Angle of the strip text.
freq: Logical. If TRUE, frequency plot with categories next to each other. If FALSE (default), proportion plot with stacked categories.
x_axis_label_width, strip_width: Numeric. Width allocated for x-axis labels and strip labels respectively.
legend_location: Character. Location of the legend. "plot" (default) or "panel".
n_legend_lines: Integer. Number of lines in the legend.
showNA: String, one of "ifany", "always" or "never". Not yet in use.
legend_key_chars_equivalence: Integer. Approximate number of characters the legend key equals.
multiplier_per_horizontal_line: Numeric. Multiplier per horizontal line.
multiplier_per_vertical_letter: Numeric. Multiplier per vertical letter.
multiplier_per_facet: Numeric. Multiplier per facet height.
multiplier_per_legend_line: Numeric. Multiplier per legend line.
fixed_constant: Numeric. Fixed constant to be added to the height.
figure_width_in_cm: Numeric. Width of the figure in centimeters.
margin_in_cm: Numeric. Margin in centimeters.
max: Numeric. Maximum height.
min: Numeric. Minimum height.

Examples

Run this code

fig_height_h_barchart2(makeme(data = ex_survey, dep = b_1:b_2, indep = x1_sex))

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