pbox(x, delimiter = NULL, pos = 1, selection = c("none", "any", "all"),
col = c("skyblue", "red", "red4", "orange", "orange4"), numbers = TRUE,
cex.numbers = par("cex"), xlim = NULL, ylim = NULL, main = NULL,
sub = NULL, xlab = NULL, ylab = NULL, axes = TRUE,
frame.plot = axes, labels = axes, interactive = TRUE, ...)data.frame.x needs to have
colnames). If given, it is used to determine the corresponding
ix are used for grouping according to
missingness/number of imputed missings."none" (grouping according to missingness/number
of imputed missings in every other variable that cpbox, further arguments and graphical parameters to
be passed to boxplot and other functions. For
TKRpbox, further arguments to be passed to pbox.boxplot.cex.numbersselection 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.parcoordMissdata(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")Run the code above in your browser using DataLab