missmap

0th

Percentile

Missingness Map

Plots a missingness map showing where missingness occurs in the dataset passed to amelia.

Usage
missmap(obj, legend = TRUE, col = c("wheat","darkred"), main, y.cex = 0.8, x.cex = 0.8, y.labels, y.at, csvar = NULL, tsvar = NULL, rank.order = TRUE, ...)
Arguments
obj
an object of class "amelia"; typically output from the function amelia, a matrix or a dataframe.
legend
should a legend be drawn?
col
a vector of length two where the first element specifies the color for missing cells and the second element specifies the color for observed cells.
main
main title of the plot. Defaults to "Missingness Map".
x.cex
expansion for the variables names on the x-axis.
y.cex
expansion for the unit names on the y-axis.
y.labels
a vector of row labels to print on the y-axis
y.at
a vector of the same length as y.labels with row nmumbers associated with the labels.
csvar
column number or name of the variable corresponding to the unit indicator. Only used when the obj is not of class amelia.
tsvar
column number or name of the variable corresponding to the time indicator. Only used when the obj is not of class amelia.
rank.order
a logical value. If TRUE, the default, then the order of the variables along the the x-axis is sorted by the percent missing (from highest to lowest). If FALSE, it is simply the order of the variables in the data.
...
further graphical arguments.
Details

missmap draws a map of the missingness in a dataset using the image function. The columns are reordered to put the most missing variable farthest to the left. The rows are reordered to a unit-period order if the ts and cs arguments were passed to amelia. If not, the rows are not reordered.

The y.labels and y.at commands can be used to associate labels with rows in the data to identify them in the plot. The y-axis is internally inverted so that the first row of the data is associated with the top-most row of the missingness map. The values of y.at should refer to the rows of the data, not to any point on the plotting region.

See Also

compare.density, overimpute, tscsPlot, image, heatmap

Aliases
  • missmap
Documentation reproduced from package Amelia, version 1.7.4, License: GPL (>= 2)

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