| bwplot.mads {mice} | R Documentation |
Plotting method to investigate the result of function ampute.
the relation between the data variables and the amputed data. The function does
not show which data is amputed. It does show how the amputed values are related
to the variable values.
## S3 method for class 'mads' bwplot( x, data, which.pat = NULL, standardized = TRUE, descriptives = TRUE, layout = NULL, ... )
x |
A |
data |
A string or vector of variable names that needs to be plotted. As a default, all variables will be plotted. |
which.pat |
A scalar or vector indicating which patterns need to be plotted. As a default, all patterns are plotted. |
standardized |
Logical. Whether the box-and-whisker plots need to be created from standardized data or not. Default is TRUE. |
descriptives |
Logical. Whether the mean, variance and n of the variables need to be printed. This is useful to examine the effect of the amputation. Default is TRUE. |
layout |
A vector of two values indicating how the boxplots of one pattern
should be divided over the plot. For example, |
... |
Not used, but for consistency with generic |
A list containing the box-and-whisker plots. Note that a new pattern will always be shown in a new plot.
The mads object contains all the information you need to
make any desired plots. Check mads-class or the vignette Multivariate
Amputation using Ampute to understand the contents of class object mads.
Rianne Schouten, 2016
ampute, bwplot, Lattice for
an overview of the package, mads-class