Comments (2)
Yeah, you're right.
docs = convert(dfmat, "lda")$documents
docs = lapply(docs, function(x) rbind(rep(x[1,], x[2,]), 1L))
should do it as well.
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Unfortunately, this yields a numeric matrix (at least in R 4.1.1
), whereas LDARep
expects an integer matrix.
There might be a more elegant solution, but this did the trick for me:
docs <- lapply(docs, function(x) rbind(rep(as.integer(x[1,]), as.integer(x[2,])), as.integer(1)))
from ldaprototype.
Related Issues (11)
- Add example analysis to README or Vignette HOT 1
- .Random.seed not found using the RNG L'Ecuyer-CMRG
- sprintf warning message using LDARep under Ubuntu
- Contribution guidelines (as opposed to code of conduct) are unclear HOT 1
- move parallelMap package from "Suggests" to "Imports" in DESCRIPTION file HOT 2
- Readme Update HOT 1
- Paper Suggestions HOT 1
- Defaults and Documentation HOT 1
- Error: (unknown) (@test_jaccardTopics.R#8): wrong sign in 'by' argument HOT 1
- Failure with dev testthat HOT 1
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