runShiny: Run shiny/D3 visualization
In cpsievert/LDAvis: Interactive Visualization of Topic Models
Description
This function is deprecated as of version 0.2
Usage
1
runShiny(phi, term.frequency, vocab, topic.proportion)
Arguments
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.
cpsievert/LDAvis documentation built on May 13, 2019, 10:54 p.m.
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Description
This function is deprecated as of version 0.2
Usage
1 | runShiny(phi, term.frequency, vocab, topic.proportion)
|
Arguments
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. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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