Graphical Model Discrete 5-Dim Example Data
This data set contains a matrix containing information on five discrete variables (levels are coded as numbers) and the corresonding DAG model.
data(gmD)
A list of two components
a data.frame with 5 columns X1
.. X5 each coding a discrete variable (aka
factor) with interagesInt [1:10000, 1:5] 2 2 1 1 1 2 2 0 2 0 ...
Formal class 'graphNEL' [package "graph"] with 6 slots
.. ..@ nodes : chr [1:5] "1" "2" "3" "4" ...
.. ..@ edgeL :List of 5
........
where x is the data matrix and g is the DAG from which
the data were generated.
The data was generated using Tetrad in the following way. A random DAG on five nodes was generated; discrete variables were assigned to each node (with 3, 2, 3, 4 and 2 levels); then conditional probability tables corresponding to the structure of the generated DAG were constructed. Finally, 10000 samples were drawn using the conditional probability tables.
data(gmD)
str(gmD, max=1)
if(require("Rgraphviz"))
plot(gmD$ g, main = "gmD $ g --- the DAG of the gmD (10'000 x 5 discrete data)")
## >>> 1 --> 3 <-- 2 --> 4 --> 5
str(gmD$x)
## The number of unique values of each variable:
sapply(gmD$x, function(v) nlevels(as.factor(v)))
## X1 X2 X3 X4 X5
## 3 2 3 4 2
lapply(gmD$x, table) ## the (marginal) empirical distributions
## $X1
## 0 1 2
## 1933 3059 5008
##
## $X2
## 0 1
## 8008 1992
##
## $X3
## .....Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.