| gmI {pcalg} | R Documentation |
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))
}
[Package pcalg version 2.7-11 Index]