rub_plot_type_2: Plot vertical stacked bar charts that are scaled to 100%...

In RichardMeyer-Eppler/RUBer: Parameterized Microsoft Word reports in the RUB corporate design

Plot vertical stacked bar charts that are scaled to 100% (figure type 2)

Description

Plot vertical stacked bar charts that are scaled to 100% (figure type 2)

Usage

rub_plot_type_2(
  df,
  x_var,
  x_var_label = NULL,
  y_var,
  y_axis_label = "",
  fill_var,
  fill_label = NULL,
  fill_reverse = FALSE,
  facet_var = NULL,
  caption = "",
  caption_prefix = "Quelle:",
  filter_cutoff = 0.04,
  color = RUB_colors["blue"],
  palette_reverse = FALSE,
  base_family = get_font_df()[["family"]],
  base_size = 11,
  max_width_strip_label = 80
)

Arguments

df	Data frame
x_var	Required variable name for the variable containing the discrete x-coordinates.
x_var_label	Optional variable name for the character variable containing the names of the x variable, defaults to NULL.
y_var	Required variable name for the variable containing the y-coordinates. Will be coerced to numeric with as.numeric.
y_axis_label	Optional label for the y-axis, defaults to an empty string.
fill_var	Variable name for the discrete variable which determines the groups to be stacked, e.g. degree.
fill_label	Optional variable name for the character variable containing the names of the fill variable, defaults to NULL.
fill_reverse	Boolean indicating whether the order of the fill variable should be reversed, defaults to FALSE.
facet_var	Optional variable name for the discrete variable to facet by, defaults to NULL.
caption	Optional character containing the data source for the figure (prefix 'Quelle:' is automatically added).
caption_prefix	Optional character containing the prefix for the caption, defaults to 'Quelle:'.
filter_cutoff	Optional cutoff value for the suppression of data labels. By default, all values below 0.04 of the total value of the stacked bar chart are suppressed.
color	Color for font and borders, defaults to RUB_colors["blue"], i.e. #003560.
palette_reverse	Optional boolean indicating whether the colors in the palette should be reversed, defaults to FALSE.
base_family	base font family, defaults to RubFlama
base_size	base font size, defaults to 11
max_width_strip_label	Optional maximum width in characters for the facet label passed to ggplot2::label_wrap_gen.

Value

A ggplot object

See Also

Other rub_plot_types: rub_plot_type_1_and_4(), rub_plot_type_1(), rub_plot_type_3(), rub_plot_type_4()

Examples

# Create test data for all three mandatory variables (x_var, y_var, fill_var)
df_t2_ex1 <- tibble::tribble(
  ~cohort_term,     ~status_percentage,               ~cohort_status,
  "2. cohort term",              0.951,                   "Studying",
  "2. cohort term",              0.003,            "Changed subject",
  "2. cohort term",                  0,                  "Graduated",
  "2. cohort term",              0.019, "Disenrolled without degree",
  "2. cohort term",              0.027,            "Dropped subject",
  "4. cohort term",               0.89,                   "Studying",
  "4. cohort term",              0.062,            "Changed subject",
  "4. cohort term",              0.002,                  "Graduated",
  "4. cohort term",               0.02, "Disenrolled without degree",
  "4. cohort term",              0.027,            "Dropped subject",
  "6. cohort term",               0.79,                   "Studying",
  "6. cohort term",               0.15,            "Changed subject",
  "6. cohort term",              0.007,                  "Graduated",
  "6. cohort term",              0.024, "Disenrolled without degree",
  "6. cohort term",              0.028,            "Dropped subject",
  "8. cohort term",              0.612,                   "Studying",
  "8. cohort term",              0.296,            "Changed subject",
  "8. cohort term",               0.01,                  "Graduated",
  "8. cohort term",              0.027, "Disenrolled without degree",
  "8. cohort term",              0.054,            "Dropped subject"
)

rub_plot_type_2(
  df = df_t2_ex1,
  x_var = cohort_term,
  y_var = status_percentage,
  fill_var = cohort_status,
  base_family = "sans"
)

RichardMeyer-Eppler/RUBer documentation built on June 2, 2022, 7:24 p.m.