R: Synthetic (discrete) data set to test learning algorithms

learning.test {bnlearn} | R Documentation

## Synthetic (discrete) data set to test learning algorithms

### Description

This a synthetic data set used as a test case in the bnlearn package.

### Usage

    data(learning.test)

### Format

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`.

### Note

The R script to generate data from this network is available from http://www.bnlearn.com/documentation/networks.

### Examples

    # 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)

[Package bnlearn version 4.4.1 Index]