Plot tabulated data.

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. doi:10.1214/ss/1009213286