rt_plot_proportions: plots the proportions with confidence intervals according to...

In shane-kercheval/rtools: Package providing R tools and wrappers

plots the proportions with confidence intervals according to prop.test. This should not be used for multi-nomial variables. Only use for >=1 binary variables.

Description

According to the the descriptionof the MultinomCI package:

Usage

rt_plot_proportions(
  numerators,
  denominators,
  categories,
  groups = NULL,
  confidence_level = 0.95,
  show_confidence_values = TRUE,
  axes_flip = FALSE,
  axis_limits = NULL,
  text_size = 4,
  line_size = 0.35,
  base_size = 11,
  x_label = "",
  y_label = "",
  group_name = "",
  title = "",
  subtitle = NULL,
  caption = NULL
)

Arguments

numerators	numerators
denominators	denominators
categories	categories
groups	vector of groups/categories to plot, seperated by color
confidence_level	the confidence level (e.g. 0.95) passed to MultinomCI.
show_confidence_values	show the high/low confidence values
axes_flip	flip axes
axis_limits	custom limits for the corresponding axis (x if not axes_flip, y if axes_flip)
text_size	text size (proportion value)
line_size	the line size for the error bars
base_size	uses ggplot's base_size parameter for controling the size of the text
x_label	label for x-axis
y_label	label for y-axis
group_name	when using 'groups', used for the legend in the plot
title	title
subtitle	subtitle
caption	caption

Details

> Confidence intervals for multinomial proportions are often approximated by single binomial confidence intervals, which might in practice often yield satisfying results, but is properly speaking not correct. This function calculates simultaneous confidence intervals for multinomial proportions either according to the methods of Sison and Glaz, Goodman, Wald, Wald with continuity correction or Wilson.

shane-kercheval/rtools documentation built on July 7, 2022, 8:31 a.m.