hist_norm: Histogram with Normal density curve.

In pubh: A Toolbox for Public Health and Epidemiology

Histogram with Normal density curve.

Description

hist_norm constructs histograms and adds corresponding Normal density curve.

Usage

hist_norm(
  object = NULL,
  formula = NULL,
  data = NULL,
  bins = 20,
  fill = "indianred3",
  color = "black",
  alpha = 0.4,
  ...
)

Arguments

object	When chaining, this holds an object produced in the earlier portions of the chain. Most users can safely ignore this argument. See details and examples.
formula	A formula with shape: ~ y or ~ y|x where y is a numerical variable and x is a factor.
data	A data frame where the variables in the formula can be found.
bins	Number of bins of the histogram.
fill	Colour to fill the bars of the histogram.
color	Colour used for the border of the bars.
alpha	Opacity (0 = invisible, 1 = opaque).
...	Further arguments passed to gf_dhistogram.

Examples

require(dplyr, quietly = TRUE)
require(sjlabelled, quietly = TRUE)
data(birthwt, package = "MASS")
birthwt <- birthwt |>
  mutate(
    smoke = factor(smoke, labels = c("Non-smoker", "Smoker")),
    Race = factor(race > 1, labels = c("White", "Non-white"))
  ) |>
  var_labels(
    bwt = "Birth weight (g)",
    smoke = "Smoking status"
  )

birthwt |>
  hist_norm(~bwt, alpha = 0.7, bins = 20, fill = "cadetblue")

birthwt |>
  hist_norm(~ bwt | smoke, alpha = 0.7, bins = 20, fill = "cadetblue")

pubh documentation built on Oct. 8, 2024, 9:08 a.m.