Plots a missingness map showing where missingness occurs in
the dataset passed to
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, ...)
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.labelswith row nmumbers associated with the labels.
column number or name of the variable corresponding to the unit indicator. Only used when the
objis not of class
column number or name of the variable corresponding to the time indicator. Only used when the
objis not of class
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.
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
cs arguments were passed
amelia. If not, the rows are not reordered.
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.