Description Usage Arguments Details Value Author(s) References Examples

View source: R/supervised_NMF.R

getT is used to calculate the combined feature matrix.

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`data` |
an optional n by p count data matrix. The p columns of the matrix are different variables and the n rows are samples. Each column should contain at lest one none zero entry. When n = 1, it is a row vector. |

`y` |
a binary variable contains classification information of the data. Usually one group is labelled as "0" and the other as "1". |

`Tr1` |
a value gives the number of types for class labeled as 1. The appropriate Tr1 can also be estimated from function |

`Tr2` |
a value gives the number of types for class labeled as 0. The appropriate Tr2 can also be estimated from function |

getT is used to calculate the combined feature matrix. The data used in getT
should contain samples from both classes. If feature matrix is needed for only
one class, `basis(NMF(data; Tr; "KL"))`

can be used.

`T` |
a feature matrix in dimension p by r. It is a combined feature matrix contains information from both classes. |

Yun Cai, Hong Gu and Tobby Kenney

Learning Microbial Community Structures with Supervised and Unsupervised Non-negative Matrix Factorization

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