plot.datawizard_tables: Plot tabulated data.

Description

Plot tabulated data.

Usage

# S3 method for datawizard_tables
plot(
  x,
  label_values = TRUE,
  show_na = c("if_any", "always", "never"),
  na_label = "(Missing)",
  error_bar = TRUE,
  ci = 0.95,
  color_fill = "#87CEFA",
  color_error_bar = "#607B8B",
  ...
)
# S3 method for datawizard_table
plot(
  x,
  label_values = TRUE,
  show_na = c("if_any", "always", "never"),
  na_label = "(Missing)",
  error_bar = TRUE,
  ci = 0.95,
  color_fill = "#87CEFA",
  color_error_bar = "#607B8B",
  ...
)

Arguments

x: Object created by datawizard::data_tabulate().
label_values: Logical. Should values and percentages be displayed at the top of each bar.
show_na: Should missing values be dropped? Can be "if_any" (default) to show the missing category only if any missing values are present, "always" to always show the missing category, or "never" to never show the missing category.
na_label: The label given to missing values when they are shown.
error_bar: Logical. Should error bars be displayed? If TRUE, confidence intervals computed using the Wilson method are shown. See Brown et al. (2001) for details.
ci: Confidence Interval (CI) level. Defaults to 0.95 (95%).
color_fill: Color to use for category columns (default: "#87CEFA").
color_error_bar: Color to use for error bars (default: "#607B8B").
...: Unused

References

Brown, L. D., Cai, T. T., & Dasgupta, A. (2001). Interval estimation for a binomial proportion. Statistical Science, 16(2), 101-133. tools:::Rd_expr_doi("10.1214/ss/1009213286")