plot.cor {sma} | R Documentation |

## Red and Green Color Image of Correlation Matrix

### Description

This function produces a red and green color image of a correlation
matrix using an RGB color specification. Increasingly positive
correlations are represented with reds of increasing intensity, and
increasingly negative correlations are represented with greens of
increasing intensity.

### Usage

plot.cor(x, new=FALSE, nrgcols=50, labels=FALSE, labcols=1, title="", ...)

### Arguments

`x` |
a matrix of numerical values. |

`new` |
If `new=F` , `X` must already be a correlation
matrix. If `new=T` , the correlation matrix for the columns of
`X` is computed and displayed in the image. |

`nrgcols` |
the number of colors (>= 1) to be used in the red
and green palette. |

`labels` |
vector of character strings to be placed at the
tickpoints, labels for the columns of `X` . |

`labcols` |
colors to be used for the labels of the columns of
`X` . `labcols` can have either length 1, in which case
all the labels are displayed using the same color, or the same
length as `labels` , in which case a color is specified for the
label of each column of `X` . |

`title` |
character string, overall title for the plot. |

`...` |
graphical parameters may also be supplied as arguments to
the function (see `par` ). For comparison purposes,
it is good to set `zlim=c(-1,1)` . |

### Author(s)

Sandrine Dudoit, sandrine@stat.berkeley.edu

### See Also

`plot.mat`

,`rgcolors.func`

,
`cor.na`

, `cor`

, `image`

,
`rgb`

.

[Package

*sma* version 0.5.15

Index]