Description Usage Arguments Details Author(s) References See Also Examples
View source: R/TKRmarginmatrix.R
Create a scatterplot matrix with information about missing/imputed values in the plot margins of each panel.
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x 
a matrix or 
delimiter 
a charactervector to distinguish between variables and
imputationindices for imputed variables (therefore, 
col 
a vector of length five giving the colors to be used in the marginplots in the offdiagonal panels. The first color is used for the scatterplot and the boxplots for the available data, the second/fourth color for the univariate scatterplots and boxplots for the missing/imputed values in one variable, and the third/fifth color for the frequency of missing/imputed values in both variables (see ‘Details’). If only one color is supplied, it is used for the bivariate and univariate scatterplots and the boxplots for missing/imputed values in one variable, whereas the boxplots for the available data are transparent. Else if two colors are supplied, the second one is recycled. 
alpha 
a numeric value between 0 and 1 giving the level of
transparency of the colors, or 
hscale 
horizontal scale factor for plot to be embedded in a Tcl/Tk window (see ‘Details’). The default value depends on the number of variables. 
vscale 
vertical scale factor for the plot to be embedded in a Tcl/Tk window (see ‘Details’). The default value depends on the number of variables. 
TKRpar 
a list of graphical parameters to be set for the plot to be
embedded in a Tcl/Tk window (see ‘Details’ and

... 
further arguments and graphical parameters to be passed to

marginmatrix
uses pairsVIM
with a panel function based
on marginplot
.
The graphical parameter oma
will be set unless supplied as an
argument.
TKRmarginmatrix
behaves like marginmatrix
, but uses
tkrplot
to embed the plot in a Tcl/Tk window.
This is useful if the number of variables is large, because scrollbars allow
to move from one part of the plot to another.
Andreas Alfons, modifications by Bernd Prantner
M. Templ, A. Alfons, P. Filzmoser (2012) Exploring incomplete data using visualization tools. Journal of Advances in Data Analysis and Classification, Online first. DOI: 10.1007/s116340110102y.
A. Kowarik, M. Templ (2016) Imputation with R package VIM. Journal of Statistical Software, 74(7), 116
marginplot
, pairsVIM
,
scattmatrixMiss
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