plot_pattern: Plot the missing data pattern of an incomplete dataset

In amices/ggmice: Visualizations for 'mice' with 'ggplot2'

Plot the missing data pattern of an incomplete dataset

Description

Plot the missing data pattern of an incomplete dataset

Usage

plot_pattern(
  data,
  vrb = "all",
  square = TRUE,
  rotate = FALSE,
  cluster = NULL,
  npat = NULL,
  caption = TRUE
)

Arguments

data	An incomplete dataset of class data.frame or matrix.
vrb	String, vector, or unquoted expression with variable name(s), default is "all".
square	Logical indicating whether the plot tiles should be squares, defaults to squares to mimick mice::md.pattern().
rotate	Logical indicating whether the variable name labels should be rotated 90 degrees.
cluster	Optional character string specifying which variable should be used for clustering (e.g., for multilevel data).
npat	Optional numeric input specifying the number of missing data patterns to be visualized, defaults to all patterns.
caption	Logical indicating whether the figure caption should be displayed.

Value

An object of class ggplot2::ggplot.

Examples

# plot missing data pattern for all columns
plot_pattern(mice::nhanes)

# plot missing data pattern for specific columns by supplying a character vector
plot_pattern(mice::nhanes, c("chl", "hyp"))

# plot missing data pattern for specific columns by supplying unquoted variable names
plot_pattern(mice::nhanes, c(chl, hyp))

# plot missing data pattern for specific columns by passing an object with variable names
# from the environment, unquoted with `!!`
my_variables <- c("chl", "hyp")
plot_pattern(mice::nhanes, !!my_variables)
# object with variable names must be unquoted with `!!`
try(plot_pattern(mice::nhanes, my_variables))

amices/ggmice documentation built on July 28, 2024, 5:27 p.m.