cast_tdm | R Documentation |
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. These functions support non-standard evaluation through the tidyeval framework. Groups are ignored.
cast_tdm(data, term, document, value, weighting = tm::weightTf, ...)
cast_dtm(data, document, term, value, weighting = tm::weightTf, ...)
cast_dfm(data, document, term, value, ...)
data |
Table with one-term-per-document-per-row |
term |
Column containing terms as string or symbol |
document |
Column containing document IDs as string or symbol |
value |
Column containing values as string or symbol |
weighting |
The weighting function for the DTM/TDM (default is term-frequency, effectively unweighted) |
... |
Extra arguments passed on to
|
The arguments term
, document
, and value
are passed by expression and support quasiquotation;
you can unquote strings and symbols.
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