xyplot.mads | R Documentation |
Plotting method to investigate relation between amputed data and the weighted sum
scores. Based on lattice
. xyplot
produces scatterplots.
The function plots the variables against the weighted sum scores. The function
automatically separates the amputed and non-amputed data to see the relation between
the amputation and the weighted sum scores.
## S3 method for class 'mads'
xyplot(
x,
data,
which.pat = NULL,
standardized = TRUE,
layout = NULL,
colors = mdc(1:2),
...
)
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 scatterplots need to be created from standardized data or not. Default is TRUE. |
layout |
A vector of two values indicating how the scatterplots of one
pattern should be divided over the plot. For example, |
colors |
A vector of two RGB values defining the colors of the non-amputed and
amputed data respectively. RGB values can be obtained with |
... |
Not used, but for consistency with generic |
A list containing the scatterplots. 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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