Box-and-whisker plot of amputed and non-amputed data
Plotting method to investigate the relation between the data variables and the amputed data. The function shows 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
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