Collects LDA results from a list of replicated runs and merges their topic matrices for a given set of vocabularies.
mergeRepTopics(...)# S3 method for LDARep
mergeRepTopics(x, vocab, progress = TRUE, ...)
# S3 method for default
mergeRepTopics(lda, vocab, id, progress = TRUE, ...)
additional arguments
[named list
]
LDARep
object. Alternatively lda
and id
can be passed.
[character
]
Vocabularies taken into consideration for merging topic matrices. Default is
the vocabulary of the first LDA.
[logical(1)
]
Should a nice progress bar be shown? Turning it off, could lead to significantly
faster calculation. Default ist TRUE
.
[named list
]
List of LDA
objects, named by the corresponding "job.id".
[character(1)
]
Name for the computation. Default is "LDARep".
[named matrix
] with the count of vocabularies (row wise) in topics (column wise).
For details and examples see mergeTopics
.
Other merge functions:
mergeBatchTopics()
,
mergeTopics()
Other replication functions:
LDAPrototype()
,
LDARep()
,
as.LDARep()
,
getJob()