Post-update Elo values

Source: R/elo.calc.R

Calculate post-update Elo values. This is vectorized.

elo.calc(wins.A, ...)

# S3 method for default
elo.calc(wins.A, elo.A, elo.B, k, ..., adjust.A = 0, adjust.B = 0)

# S3 method for formula
elo.calc(formula, data, na.action, subset, k = NULL, ...)

Arguments

wins.A

Numeric vector of wins by team A.
...

Other arguments (not in use at this time).
elo.A, elo.B

Numeric vectors of elo scores.
k

A constant k-value (or a vector, where appropriate).
adjust.A, adjust.B

Numeric vectors to adjust elo.A and elo.B by.
formula

A formula. See the help page for formulas for details.
data

A data.frame in which to look for objects in formula.
na.action

A function which indicates what should happen when the data contain NAs.
subset

An optional vector specifying a subset of observations.

Value

A data.frame with two columns, giving the new Elo values after each update.

See also

elo.prob, elo.update, elo.model.frame

Examples

elo.calc(c(1, 0), c(1500, 1500), c(1500, 1600), k = 20)
#>      elo.A    elo.B
#> 1 1510.000 1490.000
#> 2 1492.801 1607.199

dat <- data.frame(wins.A = c(1, 0), elo.A = c(1500, 1500),
                  elo.B = c(1500, 1600), k = c(20, 20))
elo.calc(wins.A ~ elo.A + elo.B + k(k), data = dat)
#>      elo.A    elo.B
#> 1 1510.000 1490.000
#> 2 1492.801 1607.199