qacBase (version 1.0.3)

univariate_plot: 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.

Value

a ggplot2 graph

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.

Examples

# NOT RUN {
univariate_plot(mtcars, mpg)
univariate_plot(cardata, city_mpg, fill="lightsteelblue",
                pointcolor="lightsteelblue", densitycolor="lightpink",
                alpha=.6)
# }