cond_boxplot: Conditional quantile boxplot

In qbinplots: Quantile Binned Plots

Conditional quantile boxplot

Description

cond_boxplot() conditions all variables on x by quantile binning and shows the boxplots for the other variables for each value of qbinned x.

Usage

cond_boxplot(
  data,
  x = NULL,
  n = 100,
  min_bin_size = NULL,
  color = "#002f2f",
  fill = "#2f4f4f",
  auto_fill = FALSE,
  ncols = NULL,
  xmarker = NULL,
  qmarker = NULL,
  show_bins = FALSE,
  xlim = NULL,
  connect = FALSE,
  ...
)

Arguments

data	a data.frame to be binned
x	character variable name used for the quantile binning
n	integer number of quantile bins.
min_bin_size	integer minimum number of rows/data points that should be in a quantile bin. If NULL it is initially sqrt(nrow(data))
color	The color to use for the line charts
fill	The fill color to use for the areas
auto_fill	If TRUE, use a different color for each category
ncols	The number of column to be used in the layout
xmarker	numeric, the x marker.
qmarker	numeric, the quantile marker to use that is translated in a x value.
show_bins	if TRUE a rug is added to the plot
xlim	numeric, the limits of the x-axis.
connect	if TRUE subsequent medians are connected.
...	Additional arguments to pass to the plot functions

Details

cond_boxplot is the same function as funq_plot() but with different defaults, namely connect = FALSE and auto_fill = FALSE. funq_plot highlights the functional relationship between x and the y-variables, by connecting the medians of the quantile bins.

qbin_boxplot() shows the boxplots of the quantile bins on a quantile scale.

Value

A list of ggplot objects.

See Also

Other conditional quantile plotting functions: cond_barplot(), cond_heatmap(), funq_plot()

Examples

cond_boxplot(
  iris, x = "Petal.Length"
)

qbinplots documentation built on April 3, 2025, 6:33 p.m.