# clPairs

0th

Percentile

##### Pairwise Scatter Plots showing Classification

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

Keywords
cluster
##### 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 and A. E. Raftery (2006, revised 2010). 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, coordProj, mclustOptions

• clPairs
##### Examples
clPairs(iris[,-5], cl=iris[,5], symbols=as.character(1:3))
Documentation reproduced from package mclust, version 3.4.7, License: file LICENSE

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