cast_tdm_
Casting a data frame to a DocumentTermMatrix, TermDocumentMatrix, or dfm
This turns a "tidy" one-term-per-document-per-row data frame into a
DocumentTermMatrix or TermDocumentMatrix from the tm package, or a
dfm from the quanteda package. Each caster
can be called either with non-standard evaluation (bare column names)
or character vectors (for cast_tdm_ and cast_dtm_).
It ignores groups.
Usage
cast_tdm_(data, term_col, document_col, value_col, weighting = tm::weightTf,
...)cast_tdm(data, term, document, value, weighting = tm::weightTf, ...)
cast_dtm_(data, document_col, term_col, value_col, weighting = tm::weightTf,
...)
cast_dtm(data, document, term, value, weighting = tm::weightTf, ...)
cast_dfm_(data, document_col, term_col, value_col, ...)
cast_dfm(data, document, term, value, ...)
Arguments
- data
Table with one-term-per-document-per-row
- weighting
The weighting function for the DTM/TDM (default is term-frequency, effectively unweighted)
- ...
Extra arguments passed on to
sparseMatrix- term, term_col
(Bare) name of a column with terms
- document, document_col
(Bare) name of a column with documents
- value, value_col
(Bare) name of a column containing values