plot_confint: Attach confidence interval to 'ggplot2::ggplot'

In ggfortify: Data Visualization Tools for Statistical Analysis Results

Attach confidence interval to ggplot2::ggplot

Description

Attach confidence interval to ggplot2::ggplot

Usage

plot_confint(
  p,
  data = NULL,
  lower = "lower",
  upper = "upper",
  conf.int = TRUE,
  conf.int.geom = "line",
  conf.int.group = NULL,
  conf.int.colour = "#0000FF",
  conf.int.linetype = "none",
  conf.int.fill = "#000000",
  conf.int.alpha = 0.3
)

Arguments

p	ggplot2::ggplot instance
data	data contains lower and upper confidence intervals
lower	column name for lower confidence interval
upper	column name for upper confidence interval
conf.int	Logical flag indicating whether to plot confidence intervals
conf.int.geom	geometric string for confidence interval. 'line' or 'step'
conf.int.group	name of grouping variable for confidence intervals
conf.int.colour	line colour for confidence intervals
conf.int.linetype	line type for confidence intervals
conf.int.fill	fill colour for confidence intervals
conf.int.alpha	alpha for confidence intervals

Value

ggplot

Examples

d <- fortify(stats::acf(AirPassengers, plot = FALSE))
p <- ggplot(data = d, mapping = aes(x = Lag))
ggfortify:::plot_confint(p, data = d)

ggfortify documentation built on May 29, 2024, 7:19 a.m.