polmineR (version 0.7.0)

cooccurrences: Get cooccurrence statistics.

Description

Get cooccurrence statistics.

Usage

cooccurrences(.Object, ...)
"cooccurrences"(.Object, keep = NULL, cpos = NULL, pAttribute = "word", window = 5, method = "new", verbose = TRUE)
"cooccurrences"(.Object, window = 5, keep = list(pos = c("NN", "ADJA")), method = "ll", big = FALSE, tcm = FALSE, mc = FALSE, progress = TRUE, verbose = TRUE, ...)
"cooccurrences"(.Object, mc = getOption("polmineR.mc"), ...)

Arguments

.Object

a partition object

...

further parameters that will be passed into bigmatrix (applies only of big=TRUE)

keep

list with tokens to keep

cpos

integer vector with corpus positions, defaults to NULL - then the corpus positions for the whole corpus will be used

pAttribute

the pAttribute of the tokens

window

no of tokens to the left and to the right of nodes

method

statistical test to use (defaults to "ll")

verbose

logical, whether to be verbose

big

logical, whether to use bigmatrix

tcm

logical, if TRUE, a term-cooccurrence matrix (sparse matrix, simple_triplet_matrix) will be returned

mc

whether to use multicore

progress

logical, whether to be verbose

Value

a cooccurrences-class object

Examples

## Not run: 
#   use(polmineR.sampleCorpus)
#   merkel <- partition("PLPRBTTXT", text_type = "speech", text_name = ".*Merkel", regex = TRUE)
#   merkel <- enrich(merkel, pAttribute = "word")
#   cooc <- cooccurrences(merkel, keep = NULL)
#   cooc <- cooccurrences(merkel, keep = NULL, big = TRUE)
# ## End(Not run)