mclust (version 4.1)

clPairs: Pairwise Scatter Plots showing Classification

Description

Creates a scatter plot for each pair of variables in given data. Observations in different classes are represented by different symbols.

Usage

clPairs(data, classification, symbols, colors, labels=dimnames(data)[[2]], 
        CEX=1, ...)

Arguments

data

A numeric vector, matrix, or data frame of observations. Categorical variables are not allowed. If a matrix or data frame, rows correspond to observations and columns correspond to variables.

classification

A numeric or character vector representing a classification of observations (rows) of data.

symbols

Either an integer or character vector assigning a plotting symbol to each unique class in classification. Elements in symbols correspond to classes in order of appearance in the sequence of observations (the order use

colors

Either an integer or character vector assigning a color to each unique class in classification. Elements in colors correspond to classes in order of appearance in the sequence of observations (the order used by the fu

labels

A vector of character strings for labeling the variables. The default is to use the column dimension names of data.

CEX

An argument specifying the size of the plotting symbols. The default value is 1.

...

Additional arguments to be passed to the graphics device.

Side Effects

Scatter plots for each combination of variables in data are created on the current graphics device. Observations of different classifications are labeled with different symbols.

References

C. Fraley, A. E. Raftery, T. B. Murphy and L. Scrucca (2012). mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation. Technical Report No. 597, Department of Statistics, University of Washington.

See Also

pairs, coordProj, mclust.options

Examples

clPairs(iris[,-5], cl=iris[,5], symbols=as.character(1:3))