Create a bivariate jitter plot.

```
scattJitt(
x,
delimiter = NULL,
col = c("skyblue", "red", "red4", "orange", "orange4"),
alpha = NULL,
cex = par("cex"),
col.line = "lightgrey",
lty = "dashed",
lwd = par("lwd"),
numbers = TRUE,
cex.numbers = par("cex"),
main = NULL,
sub = NULL,
xlab = NULL,
ylab = NULL,
axes = TRUE,
frame.plot = axes,
labels = c("observed", "missing", "imputed"),
...
)
```

- x
a

`data.frame`

or`matrix`

with two columns.- delimiter
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`

).- col
a vector of length five giving the colors to be used in the plot. The first color will be used for complete observations, the second/fourth color for missing/imputed values in only one variable, and the third/fifth color for missing/imputed values in both variables. If only one color is supplied, it is used for all. 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

`NULL`

. This can be used to prevent overplotting.- cex
the character expansion factor for the plot characters.

- col.line
the color for the lines dividing the plot region.

- lty
the line type for the lines dividing the plot region (see

`graphics::par()`

).- lwd
the line width for the lines dividing the plot region.

- numbers
a logical indicating whether the frequencies of observed and missing/imputed values should be displayed (see ‘Details’).

- cex.numbers
the character expansion factor to be used for the frequencies of the observed and missing/imputed values.

- main, sub
main and sub title.

- xlab, ylab
axis labels.

- axes
a logical indicating whether both axes should be drawn on the plot. Use graphical parameter

`"xaxt"`

or`"yaxt"`

to suppress just one of the axes.- frame.plot
a logical indicating whether a box should be drawn around the plot.

- labels
a vector of length three giving the axis labels for the regions for observed, missing and imputed values (see ‘Details’).

- ...
further graphical parameters to be passed down (see

`graphics::par()`

).

The amount of observed and missing/imputed values is visualized by jittered points. Thereby the plot region is divided into up to four regions according to the existence of missing/imputed values in one or both variables. In addition, the amount of observed and missing/imputed values can be represented by a number.

Some of the argument names and positions have changed with version 1.3
due to extended functionality and for more consistency with other plot
functions in `VIM`

. For back compatibility, the argument
`cex.text`

can still be supplied to `...{}`

and is handled
correctly. Nevertheless, it is deprecated and no longer documented. Use
`cex.numbers`

instead.

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.

Other plotting functions:
`aggr()`

,
`barMiss()`

,
`histMiss()`

,
`marginmatrix()`

,
`marginplot()`

,
`matrixplot()`

,
`mosaicMiss()`

,
`pairsVIM()`

,
`parcoordMiss()`

,
`pbox()`

,
`scattMiss()`

,
`scattmatrixMiss()`

,
`spineMiss()`