missing.plot: Returns a heat map graphic representing missingness of...

In multilevelPSA: Multilevel Propensity Score Analysis

Returns a heat map graphic representing missingness of variables grouped by the given grouping vector.

Description

NOTE: This is an experimental function and the results may vary depending on the nature of the dataset.

Usage

missing.plot(
  x,
  grouping,
  grid = FALSE,
  widths = c(ggplot2::unit(3, "null"), ggplot2::unit(1, "inches")),
  heights = c(ggplot2::unit(1, "inches"), ggplot2::unit(3, "null")),
  color = "red",
  ...
)

Arguments

x	a data frame containing the variables to visualize missingness
grouping	a vector of length nrow(vars) corresponding to how missing will be grouped by
grid	whether to draw a grid between tiles
widths	the ratio of the widths of the heatmap and histogram.
heights	the ratio of the heights of the heatmap and histogram.
color	the color used for indicating missingness.
...	currently unused.

Value

a ggplot2 expression

See Also

plot.mlpsa

multilevelPSA documentation built on April 11, 2025, 6:18 p.m.