docs_by_cluster_table {rainette}

Returns, for each cluster, the number of source documents with at least n segments of this cluster

Description

Returns, for each cluster, the number of source documents with at least n segments of this cluster

Usage

docs_by_cluster_table(obj, clust_var = NULL, doc_id = NULL, threshold = 1)

Arguments

obj

a corpus, tokens or dtm object

clust_var

name of the docvar with the clusters

doc_id

docvar identifying the source document

threshold

the minimal number of segments of a given cluster that a document must include to be counted

Details

This function is only useful for previously segmented corpus. If doc_id is NULL and there is a sement_source docvar, it will be used instead.

See Also

clusters_by_doc_table()

Examples

require(quanteda)
corpus <- data_corpus_inaugural
corpus <- head(corpus, n = 10)
corpus <- split_segments(corpus)
tok <- tokens(corpus, remove_punct = TRUE)
tok <- tokens_remove(tok, stopwords("en"))
dtm <- dfm(tok, tolower = TRUE)
dtm <- dfm_trim(dtm, min_docfreq = 2)
res <- rainette(dtm, k = 3, min_segment_size = 15)
corpus$cluster <- cutree(res, k = 3)
docs_by_cluster_table(corpus, clust_var = "cluster")