Description Usage Format Details Source Examples

These two data sets contain a matrix containing information on eight gaussian variables and the corresonding DAG model.

1 |

`gmG`

and `gmG8`

are each a `list`

of two components

- x:
a numeric matrix

*5000 * 8*.- g:
a graph, i.e., of formal

`class`

`"graphNEL"`

from package graph with 6 slots

.. [email protected] nodes : chr [1:8] "1" "2" "3" "4" ...

.. [email protected] edgeL :List of 8

........

The data was generated as indicated below. First, a random DAG model was
generated, then 5000 samples were drawn from “almost” this
model, for `gmG`

: In the previous version, the data generation
`wgtMatrix`

had the non-zero weights in reversed order for
each node. On the other hand, for `gmG8`

, the correct weights
were used in all cases

The data set is `identical`

to the one generated by

1 2 3 4 5 6 7 8 9 10 |

1 2 3 4 5 6 7 8 9 |

```
List of 2
$ x: num [1:5000, 1:8] 0.181 0.354 0.504 0.701 -0.705 ...
$ g:Formal class 'graphNEL' [package "graph"] with 6 slots
.. ..@ nodes : chr [1:8] "Author" "Bar" "Ctrl" "Goal" ...
.. ..@ edgeL :List of 8
.. ..@ edgeData :Formal class 'attrData' [package "graph"] with 2 slots
.. ..@ nodeData :Formal class 'attrData' [package "graph"] with 2 slots
.. ..@ renderInfo:Formal class 'renderInfo' [package "graph"] with 4 slots
.. ..@ graphData :List of 1
```

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