quickPWCR (version 1.2)

m_elo: randompair

Description

ramdonly pair players using reservoir sampling method.

Usage

m_elo(
  df_pw,
  wl,
  elo_randomisations = 500,
  initial_rating = 0,
  k = 100,
  cores = 1
)

Value

dataframe

Arguments

df_pw

dataframe, indicating a dataframe that includes the columns of winners and losers.

wl

vector, indicating the column names of winners and losers (c('w', 'l')). The first column name is for winners and the second column name is for losers.

elo_randomisations

numeric, indicating the number of interactions that the Elo rating system is run with the randomized pairwise comparisons

initial_rating

The initial rating of the players at the beginning

k

numeric, the K-factor determines the amount of change to the updated ratings

cores

numeric, indicating the number of CUP cores to be used for parallel processing

References

Glickman, M. E., & Jones, A. C. (1999). Rating the chess rating system. CHANCE-BERLIN THEN NEW YORK-, 12, 21-28.

Examples

df <- data.frame(a = c(1,6,0,4,'a','v',9,'n'), b = c('w',3,5,2,'d','j',8,'p'))
pw <- quickPWCR::m_elo(df_pw = df, 
                       wl = c('a', 'b'), 
                       elo_randomisations = 100, 
                       initial_rating = 1000, 
                       k = 100, 
                       cores = 1)