token_links: Returns the required information about the joint probability...

In csps-efpc/TokenLink: Joins two dataframes using tokens or like words

Returns the required information about the joint probability of the tokens in one object

Description

Returns the required information about the joint probability of the tokens in one object

Usage

token_links(
  dat_x,
  dat_y,
  col_nms_x = colnames(dplyr::select_if(dat_x, is.character)),
  col_nms_y = colnames(dplyr::select_if(dat_y, is.character)),
  args_x = list(),
  args_y = list(),
  row_name_nm = TOKENIZE_DEFAULT_ROW_NAME,
  suffix = TOKEN_SUFFIX_DEFAULT,
  token_count_join = TOKEN_TOKEN_TYPE_VEC,
  m_prob_func = calc_m_prob,
  ...
)

Arguments

dat_x	dataframe
dat_y	dataframe
col_nms_x	vector of string column names to tokenize. Default all character columns
col_nms_y	vector of string column names to tokenize. Default all character columns
args_x	list of arguments passed to 'tokenize_ations'
args_y	list of arguments passed to 'tokenize_ations'
row_name_nm	string that is the name of the column to get the rownames. Default TOKENIZE_DEFAULT_ROW_NAME
suffix	vector of length two with suffixs to add to column names as needed
token_count_join	vector of column names to join the token count dataframes on. Default TOKEN_TOKEN_TYPE_VEC
m_prob_func	a function that takes a dataframe with counts of tokens then returns a vector of m_probs
...	arguments passed to 'tokenize_ations', note ... is the lowest priority and all other passed first

Examples

dat_x = readr::read_csv('https://tinyurl.com/2p8etjr6')
dat_y = readr::read_csv('https://tinyurl.com/2p8ap4ad' )
t_dat <- token_links(
     dat_x = dat_x,
     dat_y = dat_y,
     args_x = list(col_nms = 'coname'),
     args_y = list(col_nms = 'companyName'),
     token_types = 'company_name',
     token_index = '',
     suffix = c('ceo', 'alb')
)

csps-efpc/TokenLink documentation built on Feb. 10, 2023, 3:30 a.m.