Plots a missingness map showing where missingness occurs in
the dataset passed to amelia.
missmap(obj, legend = TRUE, col = c("indianred", "dodgerblue"), main,
y.cex = 0.8, x.cex = 0.8, y.labels, y.at, csvar = NULL, tsvar =
NULL, rank.order = TRUE, margins = c(5, 5), ...)an object of class "amelia"; typically output from the
function amelia, a matrix or a dataframe.
should a legend be drawn?
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 title of the plot. Defaults to "Missingness Map".
expansion for the variables names on the x-axis.
expansion for the unit names on the y-axis.
a vector of row labels to print on the y-axis
a vector of the same length as y.labels with row
nmumbers associated with the labels.
column number or name of the variable corresponding to
the unit indicator. Only used when the obj is not of class
amelia.
column number or name of the variable corresponding to
the time indicator. Only used when the obj is not of class
amelia.
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.
a vector of length two that specifies the bottom and left margins of the plot. Useful for when variable names or row names are long.
further graphical arguments.
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.