JointAI (version 1.0.6)

md_pattern: Missing data pattern

Description

Obtain a plot of the pattern of missing data and/or return the pattern as a matrix.

Usage

md_pattern(data, color = c(grDevices::grey(0.1), grDevices::grey(0.7)),
  border = grDevices::grey(0.5), plot = TRUE, pattern = FALSE,
  print_xaxis = TRUE, ylab = "Number of observations per pattern",
  print_yaxis = TRUE, legend.position = "bottom", sort_columns = TRUE,
  ...)

Arguments

data

data frame

color

vector of length two, that specifies the colour used to indicate observed and missing values (in that order)

border

colour of the grid

plot

logical; should the missing data pattern be plotted? (default is TRUE)

pattern

logical; should the missing data pattern be returned as matrix? (default is FALSE)

print_xaxis, print_yaxis

logical; should the x-axis (below the plot) and y-axis (on the right) be printed?

ylab

y-axis label

legend.position

the position of legends ("none", "left", "right", "bottom", "top", or two-element numeric vector)

sort_columns

logical; should the columns be sorted by number of missing values? (default is TRUE)

...

optional additional parameters, currently not used

See Also

See the vignette Visualizing Incomplete Data for more examples.

Examples

op <- par(mar = c(3, 1, 1.5, 1.5), mgp = c(2, 0.6, 0))
md_pattern(wideDF)
par(op)