convert-wrappers.Rd
To make the usage as consistent as possible with other packages, quanteda
also provides shortcut wrappers to convert
, designed to be
similar in syntax to analogous commands in the packages to whose format they
are converting.
as.wfm(x) as.DocumentTermMatrix(x) dfm2lda(x)
x | the dfm to be converted |
---|---|
... | additional arguments used only by |
A converted object determined by the value of to
(see above).
See conversion target package documentation for more detailed descriptions
of the return formats.
as.wfm
converts a quanteda dfm into the
wfm
format used by the austin
package.
as.DocumentTermMatrix
will convert a quanteda dfm into
the tm package's DocumentTermMatrix format. Note: The
tm package version of as.TermDocumentMatrix
allows a
weighting
argument, which supplies a weighting function for
TermDocumentMatrix. Here the default is for term frequency
weighting. If you want a different weighting, apply the weights after
converting using one of the tm functions. For other available
weighting functions from the tm package, see
TermDocumentMatrix
.
dfm2lda
provides converts a dfm into the list representation
of terms in documents used by the lda package (a list with components
"documents" and "vocab" as needed by
lda.collapsed.gibbs.sampler
).
Additional coercion methods to base R objects are also available:
as.data.frame(x)
converts a dfm into a data.frame
as.matrix(x)
corp <- corpus_subset(data_corpus_inaugural, Year > 1970) dfmat <- dfm(corp, verbose = FALSE) # shortcut conversion to austin package's wfm format identical(as.wfm(dfmat), convert(dfmat, to = "austin"))#> [1] TRUE# NOT RUN { # shortcut conversion to tm package's DocumentTermMatrix format identical(as.DocumentTermMatrix(dfmat), convert(dfmat, to = "tm")) # }# NOT RUN { # shortcut conversion to lda package list format identical(quanteda:::dfm2lda(dfmat), convert(dfmat, to = "lda")) # }