keywords: Calculate keywords

Description Usage Arguments Value Examples

Description

keywords calculates keywords based on two frequency lists.

Usage

1
keywords(flist_A, flist_B, A_is_subset, min_A = 0, min_B = 0)

Arguments

A_is_subset

logical. Set to TRUE if counts in freq_list_B contain counts in freq_list_A. This is the case if the corpus or corpus subset from which freq_list_A was computed is a subset of the corpus or corpus subset form which freq_list_B was computed.

min_A

numeric. Minimum number of tokens in flist_A.

min_B

numeric. Minimum number of tokens in flilst_B.

freq_list_A

data.table. Frequency list of tokens with columns "token", "N", "R"

freq_list_B

data.table. Frequency list of tokens with columns "token", "N", "R"

Value

data.table with log likelihood and log ratio statistics.

Examples

1
## Not run: keywords(my_flist_a, my_flist_b, A_is_subset = T)

retide/rusecqp documentation built on Feb. 8, 2022, 10:51 p.m.