plot.datawizard_table: Plot tabulated data.

In see: Model Visualisation Toolbox for 'easystats' and 'ggplot2'

Plot tabulated data.

Description

Plot tabulated data.

Usage

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

## S3 method for class 'datawizard_table'
plot(
  x,
  label_values = TRUE,
  show_na = c("if_any", "always", "never"),
  na_label = "(Missing)",
  error_bar = TRUE,
  ci = 0.95,
  fill_col = "#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%⁠).
fill_col	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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/ss/1009213286")}

see documentation built on Sept. 11, 2024, 5:51 p.m.