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elo (version 3.0.2)

elo.calc: Post-update Elo values

Description

Calculate post-update Elo values. This is vectorized.

Usage

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, ...)

Value

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

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.

See Also

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

Examples

Run this code
elo.calc(c(1, 0), c(1500, 1500), c(1500, 1600), k = 20)

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)

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