Plotting method to investigate the relation between the data variables and the amputed data. The function shows how the amputed values are related to the variable values.

## Usage

```
# S3 method for mads
bwplot(
x,
data,
which.pat = NULL,
standardized = TRUE,
descriptives = TRUE,
layout = NULL,
...
)
```

## Arguments

- x
A

`mads`

(`mads-class`

) object, typically created by`ampute`

.- data
A string or vector of variable names that needs to be plotted. As a default, all variables will be plotted.

- which.pat
A scalar or vector indicating which patterns need to be plotted. As a default, all patterns are plotted.

- standardized
Logical. Whether the box-and-whisker plots need to be created from standardized data or not. Default is TRUE.

- descriptives
Logical. Whether the mean, variance and n of the variables need to be printed. This is useful to examine the effect of the amputation. Default is TRUE.

- layout
A vector of two values indicating how the boxplots of one pattern should be divided over the plot. For example,

`c(2, 3)`

indicates that the boxplots of six variables need to be placed on 3 rows and 2 columns. Default is 1 row and an amount of columns equal to #variables. Note that for more than 6 variables, multiple plots will be created automatically.- ...
Not used, but for consistency with generic

## Value

A list containing the box-and-whisker plots. Note that a new pattern will always be shown in a new plot.

## Note

The `mads`

object contains all the information you need to
make any desired plots. Check `mads-class`

or the vignette *Multivariate
Amputation using Ampute* to understand the contents of class object `mads`

.

## See also

`ampute`

, `bwplot`

, `Lattice`

for
an overview of the package, `mads-class`