# bwplot.mads: Box-and-whisker plot of amputed and non-amputed data In mice: Multivariate Imputation by Chained Equations

## Description

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

 ``` 1 2 3 4 5 6 7 8 9 10``` ```## S3 method for class '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`.

## Author(s)

Rianne Schouten, 2016

`ampute`, `bwplot`, `Lattice` for an overview of the package, `mads-class`