gmI: Graphical Model 7-dim IDA Data Examples

In pcalg: Methods for Graphical Models and Causal Inference

Graphical Model 7-dim IDA Data Examples

Description

This data set contains a matrix containing information on seven gaussian variables and the corresonding DAG model.

Usage

data(gmI)

Format

The two gmI* objects are each a list of two components x, an n \times 7 numeric matrix, and g, a DAG, a graph generated by randomDAG.

See gmG for more

Details

The data was generated as indicated below. First, a random DAG was generated, then samples were drawn from this model, strictly speaking for gmI7 only.

Source

The data sets are identical to those generated by

   ## Used to generate "gmI"
   set.seed(123)
   p <- 7
   myDAG <- randomDAG(p, prob = 0.2) ## true DAG
   gmI  <- list(x = rmvDAG(10000, myDAG, back.compatible=TRUE), g = myDAG)
   gmI7 <- list(x = rmvDAG( 8000, myDAG),                       g = myDAG)
 

Examples

data(gmI)
str(gmI, max=3)
stopifnot(identical(gmI $ g, gmI7 $ g))
if(dev.interactive()) { ## to save time in tests
  round(as(gmI $ g, "Matrix"), 2) # weight ("adjacency") matrix
  plot(gmI $ g)
  pairs(gmI$x, gap = 0,
        panel=function(...) smoothScatter(..., add=TRUE))
}

pcalg documentation built on May 29, 2024, 5:24 a.m.