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.
dfm2austin(x)
dfm2tm(x, weighting = tm::weightTf)
dfm2lda(x, omit_empty = TRUE)
dtm2lda(x, omit_empty = TRUE)
dfm2dtm(x, omit_empty = TRUE)
dfm2stm(x, docvars = NULL, omit_empty = TRUE)the dfm to be converted
a tm weight, see tm::weightTf()
logical; if TRUE, omit empty documents and features
from the converted dfm. This is required for some formats (such as STM)
that do not accept empty documents. Only used when to = "lda" or
to = "topicmodels". For to = "stm" format, omit_empty is
always TRUE.
optional data.frame of document variables used as the
meta information in conversion to the stm package format.
This aids in selecting the document variables only corresponding to the
documents with non-zero counts. Only affects the "stm" format.
A converted object determined by the value of to (see above).
See conversion target package documentation for more detailed descriptions
of the return formats.
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::lda.collapsed.gibbs.sampler()).
dfm2ldaformat 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::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)dfmat <- corpus_subset(data_corpus_inaugural, Year > 1970) |>
tokens() |>
dfm()
if (FALSE) {
# shortcut conversion to lda package list format
identical(quanteda:::dfm2lda(dfmat), convert(dfmat, to = "lda"))
}
if (FALSE) {
# shortcut conversion to lda package list format
identical(dfm2ldaformat(dfmat), convert(dfmat, to = "lda"))
}