Run shiny/D3 visualization
This function is deprecated as of version 0.2
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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