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 class 'mads'
bwplot(
x,
data,
which.pat = NULL,
standardized = TRUE,
descriptives = TRUE,
layout = NULL,
...
)Arguments
- x
- 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 or the vignette Multivariate
Amputation using Ampute to understand the contents of class object mads.