boxPlot: Box plot

In OpenIntroStat/openintro: Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

Box plot

Description

An alternative to boxplot. Equations are not accepted. Instead, the second argument, fact, is used to split the data.

Usage

boxPlot(
  x,
  fact = NULL,
  horiz = FALSE,
  width = 2/3,
  lwd = 1,
  lcol = "black",
  medianLwd = 2,
  pch = 20,
  pchCex = 1.8,
  col = grDevices::rgb(0, 0, 0, 0.25),
  add = FALSE,
  key = NULL,
  axes = TRUE,
  xlab = "",
  ylab = "",
  xlim = NULL,
  ylim = NULL,
  na.rm = TRUE,
  ...
)

Arguments

x	A numerical vector.
fact	A character or factor vector defining the grouping for side-by-side box plots.
horiz	If TRUE, the box plot is oriented horizontally.
width	The width of the boxes in the plot. Value between 0 and 1.
lwd	Width of lines used in box and whiskers.
lcol	Color of the box, median, and whiskers.
medianLwd	Width of the line marking the median.
pch	Plotting character of outliers.
pchCex	Size of outlier character.
col	Color of outliers.
add	If FALSE, a new plot is created. Otherwise, the boxplots are added to the current plot for values of TRUE or a numerical vector specifying the locations of the boxes.
key	The order in which to display the side-by-side boxplots. If locations are specified in add, then the elements of add will correspond to the elements of key.
axes	Whether to plot the axes.
xlab	Label for the x axis.
ylab	Label for the y axis.
xlim	Limits for the x axis.
ylim	Limits for the y axis.
na.rm	Indicate whether NA values should be removed.
...	Additional arguments to plot.

Author(s)

David Diez

See Also

histPlot, dotPlot, densityPlot

Examples

# univariarate
boxPlot(email$num_char, ylab = "Number of characters in emails")

# bivariate
boxPlot(email$num_char, email$spam,
  xlab = "Spam",
  ylab = "Number of characters in emails"
)

# faded outliers
boxPlot(email$num_char, email$spam,
  xlab = "Spam",
  ylab = "Number of characters in emails",
  col = fadeColor("black", 18)
)

# horizontal plots
boxPlot(email$num_char, email$spam,
  horiz = TRUE,
  xlab = "Spam",
  ylab = "Number of characters in emails",
  col = fadeColor("black", 18)
)

# bivariate relationships where categorical data have more than 2 levels
boxPlot(email$num_char, email$image,
  horiz = TRUE,
  xlab = "Number of attached images",
  ylab = "Number of characters in emails",
  col = fadeColor("black", 18)
)

# key can be used to restrict to only the desired groups
boxPlot(email$num_char, email$image,
  horiz = TRUE, key = c(0, 1, 2),
  xlab = "Number of attached images (limited to 0, 1, 2)",
  ylab = "Number of characters in emails",
  col = fadeColor("black", 18)
)

# combine boxPlot and dotPlot
boxPlot(tips$tip, tips$day,
  horiz = TRUE, key = c("Tuesday", "Friday")
)
dotPlot(tips$tip, tips$day,
  add = TRUE, at = 1:2 + 0.05,
  key = c("Tuesday", "Friday")
)

# adding a box
boxPlot(email$num_char[email$spam == 0], xlim = c(0, 3))
boxPlot(email$num_char[email$spam == 1], add = 2, axes = FALSE)
axis(1, at = 1:2, labels = c(0, 1))
boxPlot(email$num_char[email$spam == 0], ylim = c(0, 3), horiz = TRUE)
boxPlot(email$num_char[email$spam == 1], add = 2, horiz = TRUE, axes = FALSE)
axis(2, at = 1:2, labels = c(0, 1))

OpenIntroStat/openintro documentation built on June 4, 2024, 4:19 a.m.