univariate_plot: Univariate plot

In Rkabacoff/qacBase: Functions to Facilitate Exploratory Data Analysis

Univariate plot

Description

Generates a descriptive graph for a quantitative variable.

Usage

univariate_plot(
  data,
  x,
  bins = 30,
  fill = "deepskyblue",
  pointcolor = "black",
  density = TRUE,
  densitycolor = "grey",
  alpha = 0.2,
  seed = 1234
)

Arguments

data	a data frame.
x	a variable name (without quotes).
bins	number of histogram bins.
fill	fill color for the histogram and boxplot.
pointcolor	point color for the jitter plot.
density	logical. Plot a filled density curve over the the histogram. (default=TRUE)
densitycolor	fill color for density curve.
alpha	Alpha transparency (0-1) for the density curve and jittered points.
seed	pseudorandom number seed for jittered plot.

Details

univariate_plot generates a plot containing three graphs: a histogram (with an optional density curve), a horizontal jittered point plot, and a horizontal box plot. The subtitle contains descriptive statistics, including the mean, standard deviation, median, minimum, maximum, and skew.

Value

a ggplot2 graph

Note

The graphs are created with ggplot2 and then assembled into a single plot through the patchwork package. Missing values are deleted.

Examples

univariate_plot(mtcars, mpg)
univariate_plot(cardata, city_mpg, fill="lightsteelblue",
                pointcolor="lightsteelblue", densitycolor="lightpink",
                alpha=.6)

Rkabacoff/qacBase documentation built on June 23, 2022, 7:13 p.m.