mergeRepTopics: Merge LDA Topic Matrices

In ldaPrototype: Prototype of Multiple Latent Dirichlet Allocation Runs

Description

Collects LDA results from a list of replicated runs and merges their topic matrices for a given set of vocabularies.

Usage

mergeRepTopics(...)

## S3 method for class 'LDARep'
mergeRepTopics(x, vocab, progress = TRUE, ...)

## Default S3 method:
mergeRepTopics(lda, vocab, id, progress = TRUE, ...)

Arguments

...	additional arguments
x	[named list] LDARep object. Alternatively lda and id can be passed.
vocab	[character] Vocabularies taken into consideration for merging topic matrices. Default is the vocabulary of the first LDA.
progress	[logical(1)] Should a nice progress bar be shown? Turning it off, could lead to significantly faster calculation. Default ist TRUE.
lda	[named list] List of LDA objects, named by the corresponding "job.id".
id	[character(1)] Name for the computation. Default is "LDARep".

Details

For details and examples see mergeTopics.

Value

[named matrix] with the count of vocabularies (row wise) in topics (column wise).

See Also

Other merge functions: mergeBatchTopics(), mergeTopics()

Other replication functions: LDAPrototype(), LDARep(), as.LDARep(), getJob()

ldaPrototype documentation built on Sept. 5, 2021, 5:31 p.m.