Description Usage Arguments Value Note Author(s) References

Given a clinical variable, it produces a script file for WinMIM by calculating means and covariances and for the N most highly correlated probes (in absolute value). Here N is an input parameter, but a recommended value 10. WinMIM can find a relevant graphical model for the dependencies between the probes and the clinical variable.

1 |

`variable` |
Clinical variable to be examined |

`data` |
The input data set, with subject id in first column. |

`clindat` |
The input clinical data, with subject id in first column |

`probes` |
The name of the probes in the order of |

`N` |
The number of highly correlated probes to be studied |

`out` |
The MIM script file |

The correlation matrix

David Edwards' program WinMIM can be found on
StatLib (http://lib.stat.cmu.edu/graphmod/). In MIM issue `input mimscript.txt`

and the calculations to find a model will start. When finished go to the Graphics menu and
click on `Independence Graph`

. The resulting graph can be exported both to WMF and LaTeX.

Per Broberg

Edwards, David (1995) *Introduction to Graphical Modelling*. Springer-Verlag

Lautitzen, Steffen (1996) *Graphical Models*. Oxford University Press

Whittaker, Joe (1990) *Graphical Models in Multivariate Analysis*. Wiley

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