cbs_sing: Concept Based Standardization (cbs)

In M2UCT/RFtex: What the Package Does (One Line, Title Case)

Description

Concept Based Standardization (cbs)

Usage

cbs_sing(table)

Arguments

table

A dataframe with 4 columns (columns need to be in the right order) column 1: A document identifier column 2: The concept id column 3: A term identifier column 4: The term frequency

Value

A dataframe with showing the cbs for each unique firm-pair for each concept

Examples

library (RFtex)

table <- tibble::tibble(
doc_id = c(1,1,1,1,1,2,2,2,2,3,3,3,3),
con_id = c(1,1,2,2,2,1,1,3,3,1,3,2,3),
term   = c("a", "b", "c", "d", "e", "a", "b", "f", "g", "a", "f", "e", "g"),
freq   = c(21,12,58,32,14,21,14,66,14,12,85,100,12))

con.list <- split(table, dplyr::group_indices(table, con_id))
names(con.list) <- sort(unique(table$con_id))

cbs_sing(con.list[[1]])
lapply(con.list, cbs_sing)

M2UCT/RFtex documentation built on May 25, 2019, 4 a.m.