TKRpbox(x, pos = 1, delimiter = NULL, hscale = NULL, vscale = 1, TKRpar = list(), ...)data.frame.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).x
are used for grouping according to missingness/number of
imputed missings.pbox, further arguments and
graphical parameters to be passed to
boxplot and other functions. For
TKRpbox, further arguments to be passed to
pbox.par).boxplot.
selection are produced for the
variable of interest.Additionally, the frequencies of the missing/imputed values can be represented by numbers. If so, the first line corresponds to the observed values of the variable of interest and their distribution in the different groups, the second line to the missing/imputed values.
If interactive=TRUE, clicking in the left margin
of the plot results in switching to the previous variable
and clicking in the right margin results in switching to
the next variable. Clicking anywhere else on the
graphics device quits the interactive session.
TKRpbox behaves like pbox with
selection="none", but uses
tkrplot to embed the plot in a
Tcl/Tk window. This is useful for drawing a large
number of parallel boxes, because scrollbars allow to
move from one part of the plot to another.
parcoordMiss
data(chorizonDL, package = "VIM")
## for missing values
pbox(log(chorizonDL[, c(4,5,8,10,11,16:17,19,25,29,37,38,40)]))
## for imputed values
pbox(kNN(log(chorizonDL[, c(4,8,10,11,17,19,25,29,37,38,40)])),
delimiter = "_imp")
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