R: Pairwise Scatter Plots showing Missing Data Imputations

imputePairs {mclust} | R Documentation

## Pairwise Scatter Plots showing Missing Data Imputations

### Description

Creates a scatter plot for each pair of variables in given data, allowing display of imputations for missing values in different colors and symbols than non missing values.

### Usage

    imputePairs(data, dataImp,
                symbols = c(1,16), colors = c("black", "red"), labels,
                panel = points, ..., lower.panel = panel, upper.panel = panel,
                diag.panel = NULL, text.panel = textPanel, label.pos = 0.5 +
                has.diag/3, cex.labels = NULL, font.labels = 1, row1attop = TRUE,
                gap = 0.2)

### Arguments

`data` | A numeric vector, matrix, or data frame of observations containing missing values. Categorical variables are not allowed. If a matrix or data frame, rows correspond to observations and columns correspond to variables.
`dataImp` | The dataset `data` with missing values imputed.
`symbols` | Either an integer or character vector assigning plotting symbols to the nonmissing data and impued values, respectively. The default is a closed circle for the nonmissing data and an open circle for the imputed values.
`colors` | Either an integer or character vector assigning colors to the nonmissing data and impued values, respectively. The default is black for the nonmissing data and red for the imputed values.
`labels` | As in function `pairs`.
`panel` | As in function `pairs`.
`...` | As in function `pairs`.
`lower.panel` | As in function `pairs`.
`upper.panel` | As in function `pairs`.
`diag.panel` | As in function `pairs`.
`text.panel` | As in function `pairs`.
`label.pos` | As in function `pairs`.
`cex.labels` | As in function `pairs`.
`font.labels` | As in function `pairs`.
`row1attop` | As in function `pairs`.
`gap` | As in function `pairs`.

### Value

A pairs plot displaying the location of missing and nonmissing values.

### References

Schafer J. L. (1997). Analysis of Imcomplete Multivariate Data, Chapman and Hall.

### See Also

`pairs`, `imputeData`

### Examples

    ## Not run:
    # Note that package 'mix' must be installed
    data(stlouis, package = "mix")

    # impute the continuos variables in the stlouis data
    stlimp <- imputeData(stlouis[,-(1:3)])

    # plot imputed values
    imputePairs(stlouis[,-(1:3)], stlimp)

    ## End(Not run)

[Package mclust version 5.4.5 Index]