gg_norm_conf_int: Plot a confidence interval on a normal curve
In michaelfrancenelson/mfn.teaching.utils:

gg_norm_conf_int

R Documentation

Plot a confidence interval on a normal curve

Description

Plot a confidence interval on a normal curve

Usage

gg_norm_conf_int(
  alpha = 0.05,
  pop_mean = 0,
  pop_sd = 1,
  xmin = NULL,
  xmax = NULL,
  len = 1000,
  fill_upper = rgb(0, 0.3, 0.8, 0.25),
  fill_lower = rgb(0, 0.3, 0.8, 0.25),
  fill_middle = rgb(0, 0, 0, 0),
  y_lab = "f(x)",
  x_lab = "x",
  lty_v = 2,
  title_fmt = "Interval contains %.1f%s of probabiltiy density.",
  arrow_label_fmt = "$%1$0.1f \\pm %2$0.2f \\times \\sigma$",
  arrow_size = 0.3,
  digits_label = 0,
  digits_axis = 3,
  x_auto_breaks = -1:1
)

Arguments

`alpha`	alpha for the fill
`pop_mean`	mean for the pop
`pop_sd`	sd for the pop
`xmin`	min x
`xmax`	max s
`len`	how many points to make for the curve. Higher number results in smoother curve
`fill_upper`	fill color for the upper tail
`fill_lower`	fill color for the lower tail
`fill_middle`	fill color for the non-tail part of the pdf
`y_lab`	labe for y axis
`x_lab`	label for x asxis
`lty_v`	line type for the upper and lower quantile limits
`title_fmt`	template for title
`arrow_label_fmt`	template for arrow lables
`arrow_size`	size for the horizontal arrow for the CI width label
`digits_label`	how many digits to round for the label
`digits_axis`	how many digits to round for the axes
`x_auto_breaks`