Plot Missing Data — plotMiss • pharos

Takes a data frame and displays the location of missing data. The missings can be clustered and be displayed together.

Usage

plotMiss(
  x,
  col = "deeppink4",
  bg = fade("navajowhite3", 0.3),
  clust = FALSE,
  main = NULL,
  ...
)

Arguments

x: a data.frame to be analysed.
col: the colour of the missings.
bg: the background colour of the plot.
clust: logical, defining if the missings should be clustered. Default is FALSE.
main: the main title.
...: the dots are passed to plot().

Value

if clust is set to TRUE, the new order will be returned invisibly.

Details

A graphical display of the position of the missings can be help to detect dependencies or patterns within the missings.

Note

Following an idea of Henk Harmsen henk@carbonmetrics.com

See also

hclust(), bedrock::countCompCases()

Other plot.special: plotBinaryTree(), plotCirc(), plotLift(), plotPolar(), plotPropCI(), plotTernary(), plotTimeSeries(), plotTreemap(), plotWeb()

Examples


plotMiss(airquality, main="Missing data (in orignal order)")

plotMiss(airquality, main="Missing data (clustered)", clust=TRUE)