This function is deprecated as of version 0.2

1 | ```
runShiny(phi, term.frequency, vocab, topic.proportion)
``` |

`phi` |
a matrix with W rows, one for each term in the vocabulary, and K columns, one for each topic, where each column sums to one. Each column is the multinomial distribution over terms for a given topic in an LDA topic model. |

`term.frequency` |
an integer vector of length W containing the frequency of each term in the vocabulary. |

`vocab` |
a character vector of length W containing the unique terms in the corpus. |

`topic.proportion` |
a numeric vector of length K containing the proportion of each topic in the corpus. |

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