cast_tdm_ {tidytext} | R Documentation |
This turns a "tidy" one-term-per-dopument-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.
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, ...)
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
|
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 |