Description Usage Arguments Details Value Note Author(s) References See Also Examples

Clusters variables in a datafrome using dist = 1-A and plots a heatmap with cluster dendrogram attached.

1 |

`dataSet` |
the n x m data frame representing n samples of the m variables. |

`palette` |
colour palette to use for the heatmap. |

`corAdjusted` |
a flag which if set causes bi-variate A scores to be mutiplied
by the sign of the same bi-variate correlation. This gives a
direction to the association. defaults to |

`method` |
the method to use for correlation association as performed by |

`title` |
a main title for the heatmap plot. |

`...` |
passed on to graphics routines ... |

uses `heatmap.2`

from the `gplots`

package
to display a heatmap and associated dendorgram with
bi-variate scores provided by matie's A value.
If required these scores can be expanded into the
range `[-1,1]`

through multiplication by the
sign of the corresponding bi-variate correlation score.

Returns nothing.

The data set can be of any dimension.

Ben Murrell, Dan Murrell & Hugh Murrell.

This code was adapted from Moignard et al.

1 2 | ```
data(baseballData)
amap(baseballData,corAdjusted=TRUE)
``` |

```
[1] "Processing 11 variables. 55 pairs"
[1] "1 variable(s) complete"
[1] "2 variable(s) complete"
[1] "3 variable(s) complete"
[1] "4 variable(s) complete"
[1] "5 variable(s) complete"
[1] "6 variable(s) complete"
[1] "7 variable(s) complete"
[1] "8 variable(s) complete"
[1] "9 variable(s) complete"
[1] "10 variable(s) complete"
```

matie documentation built on May 29, 2017, 5:29 p.m.

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