R: Transform data from and for use with the 'lda' package

ldaformat2dtm {topicmodels} | R Documentation

## Transform data from and for use with the lda package

### Description

Data from the lda package is transformed to a document-term matrix. This data format can be used to fit topic models using package topicmodels.

Data in form of a document-term matrix is transformed to the LDA format used by package lda.

### Usage

    ldaformat2dtm(documents, vocab, omit_empty = TRUE)
    dtm2ldaformat(x, omit_empty = TRUE)

### Arguments

`documents` | A `list` where each entry corresponds to a document; for each document the number of terms occurring in the document are stored in a `matrix` with two rows such that in each column the first entry corresponds to the vocabulary id of the term and the second entry to the number of times this term occurred in the document.
`vocab` | A `"character"` vector of the terms in the vocabulary.
`x` | An object of class `"DocumentTermMatrix"` as defined in package tm.
`omit_empty` | A logical indicating if empty documents should be removed when converting the objects. By default empty documents are removed.

### Value

An object of class `"DocumentTermMatrix"` is returned by `ldaformat2dtm()` and a list with components `"documents"` and `"vocab"` by `dtm2ldaformat()`.

### Author(s)

Bettina Gruen

### Examples

    if (require("lda")) {
      data("cora.documents", package = "lda")
      data("cora.vocab", package = "lda")
      dtm <- ldaformat2dtm(cora.documents, cora.vocab)
      cora <- dtm2ldaformat(dtm)
      all.equal(cora, list(documents = cora.documents,
                           vocab = cora.vocab))
    }

[Package topicmodels version 0.2-9 Index]