pcalg (version 2.7-12)

gmL: Latent Variable 4-Dim Graphical Model Data Example

Description

This data set contains a matrix containing information on four gaussian variables and the corresonding DAG model containing four observed and one latent variable.

Usage

data(gmL)

Format

The format is a list of 2 components

x:

$ x: num [1:10000, 1:4] 0.924 -0.189 1.016 0.363 0.497 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : NULL .. ..$ : chr [1:4] "2" "3" "4" "5"

g:

$ g:Formal class 'graphNEL' [package "graph"] with 6 slots .. ..@ nodes : chr [1:5] "1" "2" "3" "4" ... .. ..@ edgeL :List of 5 ........

Details

The data was generated as indicated below. First, a random DAG model was generated with five nodes; then 10000 samples were drawn from this model; finally, variable one was declared to be latent and the corresponding column was deleted from the simulated data set.

Examples

data(gmL)
str(gmL, max=3)

## the graph:
gmL$g
graph::nodes(gmL$g) ; str(graph::edges(gmL$g))
if(require("Rgraphviz"))
  plot(gmL$g, main = "gmL $ g -- latent variable example data")

pairs(gmL $x) # the data