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

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 usecolors

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 fulabels

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.

`data`

are
created on the current graphics device. Observations of different
classifications are labeled with different symbols.`pairs`

,
`coordProj`

,
`mclustOptions`

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

Run the code above in your browser using DataCamp Workspace