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 nonmissing values.

Usage

imputePairs(x, impx, symbols = c(16,1), 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 = 1) 

Arguments

x 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.
impx The dataset x 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.

Side Effects

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

References

C. Fraley and A. E. Raftery (2006). MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering, Technical Report no. 504, Department of Statistics, University of Washington.

See Also

pairs, imputeData

Examples

library(mix)

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

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

[Package mclust version 3.4.1 Index]