Description Usage Arguments Details Value Note Author(s) References See Also Examples

Numerical feature simulation for positive samples. Called by `createData`

.

1 2 | ```
createCase(subtype, upper.mean, lower.mean, upper.sd, lower.sd, n.features,
subtype1.feats = 1:5, subtype2.feats = 6:10, subtype3.feats = 11:15)
``` |

`subtype` |
Numeric number indicating which subtype to simulate. Currently supports three subtype: 1, 2 or 3. |

`upper.mean` |
The mean of the upper component of the bimodal Gaussian distribution from which features are simulated. |

`lower.mean` |
The mean of the lower component of the bimodal Gaussian distribution from which features are simulated. |

`upper.sd` |
The standard deviation of the upper component of the bimodal Gaussian distribution from which features are simulated. |

`lower.sd` |
The standard deviation of the lower component of the bimodal Gaussian distribution from which features are simulated. |

`n.features` |
Number of features to simulate. |

`subtype1.feats` |
Numeric vector representing the indices of features that define subtype 1. |

`subtype2.feats` |
Numeric vector representing the indices of features that define subtype 2. |

`subtype3.feats` |
Numeric vector representing the indices of features that define subtype 3. |

Simulations support 3 subtypes, each defined by 5 different features.

Subtype 1 is defined as having the first 3 `subtype1.feats`

and at least one of the next 2 `subtype1.feats`

simulated from the upper component of the bimodal Gaussian distribution.

Subtype 2 is defined as having all 5 `subtype2.feats`

simulated from the upper component.

Subtype 3 is defined as having the first 4 `subtype3.feats`

simulated from the upper component and and the last `subtype3.feats`

simulated from the lower component.

Returns a vector of simulated features

`createCase`

is not meant to be called alone. It is designed as a helper function for `createData`

.

Michelle Saul

ADD REFERENCE

1 2 3 4 5 6 | ```
# Toy Example
case <- createCase(subtype = 1, upper.mean = 13, lower.mean = 5,
upper.sd = 1, lower.sd = 1, n.features = 20,
subtype1.feats = 1:5,
subtype2.feats = 6:10,
subtype3.feats = 11:15)
``` |

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