Create a scatterplot matrix.
pairsVIM(
x,
...,
delimiter = NULL,
main = NULL,
sub = NULL,
panel = points,
lower = panel,
upper = panel,
diagonal = NULL,
labels = TRUE,
pos.labels = NULL,
cex.labels = NULL,
font.labels = par("font"),
layout = c("matrix", "graph"),
gap = 1
)
a matrix or data.frame
.
further arguments and graphical parameters to be passed down.
par("oma")
will be set appropriately unless supplied (see
graphics::par()
).
a character-vector to distinguish between variables and
imputation-indices for imputed variables (therefore, x
needs to have
colnames()
). If given, it is used to determine the corresponding
imputation-index for any imputed variable (a logical-vector indicating which
values of the variable have been imputed). If such imputation-indices are
found, they are used for highlighting and the colors are adjusted according
to the given colors for imputed variables (see col
).
main and sub title.
a function(x, y, ...{})
, which is used to plot the
contents of each off-diagonal panel of the display.
separate panel functions to be used below and above the diagonal, respectively.
optional function(x, ...{})
to be applied on the
diagonal panels.
either a logical indicating whether labels should be plotted in the diagonal panels, or a character vector giving the labels.
the vertical position of the labels in the diagonal panels.
the character expansion factor to be used for the labels.
the font to be used for the labels.
a character string giving the layout of the scatterplot
matrix. Possible values are "matrix"
(a matrix-like layout with the
first row on top) and "graph"
(a graph-like layout with the first row
at the bottom).
a numeric value giving the distance between the panels in margin lines.
Andreas Alfons, modifications by Bernd Prantner
This function is the workhorse for marginmatrix()
and
scattmatrixMiss()
.
The graphical parameter oma
will be set unless supplied as an
argument.
A panel function should not attempt to start a new plot, since the
coordinate system for each panel is set up by pairsVIM
.
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/s11634-011-0102-y.
marginmatrix()
, scattmatrixMiss()
Other plotting functions:
aggr()
,
barMiss()
,
histMiss()
,
marginmatrix()
,
marginplot()
,
matrixplot()
,
mosaicMiss()
,
parcoordMiss()
,
pbox()
,
scattJitt()
,
scattMiss()
,
scattmatrixMiss()
,
spineMiss()
data(sleep, package = "VIM")
x <- sleep[, -(8:10)]
x[,c(1,2,4,6,7)] <- log10(x[,c(1,2,4,6,7)])
pairsVIM(x)
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