Synthetic (discrete) data set to test learning algorithms
This a synthetic data set used as a test case in the bnlearn package.
data(learning.test)
The learning.test
data set contains the following variables:
A
, a three-level factor with levels a
, b
and
c
.
B
, a three-level factor with levels a
, b
and
c
.
C
, a three-level factor with levels a
, b
and
c
.
D
, a three-level factor with levels a
, b
and
c
.
E
, a three-level factor with levels a
, b
and
c
.
F
, a two-level factor with levels a
and b
.
The R script to generate data from this network is available from https://www.bnlearn.com/documentation/networks/.
# load the data. data(learning.test) # create and plot the network structure. dag = model2network("[A][C][F][B|A][D|A:C][E|B:F]") ## Not run: graphviz.plot(dag)
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