colley_ties: Performs Colley Matrix Ranking Algorithm allowing ties
In jalapic/ratingsR: Calculate ratings of winner-loser matrices
Description
Usage
Arguments
Value
Further details
Examples
Description
Performs Colley Matrix Ranking Algorithm allowing ties
Usage
1
Arguments
df
A winner-loser dataframe
There should be four columns. The first two are each
competitor in a competition. The third columns are the points
or goals scored by individual in the first columns. The
fourth column are the points/goals scored by the individual
in the second column.
Value
A vector of ratings
Further details
ties are considered to be half-wins.
Examples
1
jalapic/ratingsR documentation built on May 18, 2019, 11:18 a.m.
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Description Usage Arguments Value Further details Examples
Description
Performs Colley Matrix Ranking Algorithm allowing ties
Usage
1 |
Arguments
df |
A winner-loser dataframe There should be four columns. The first two are each competitor in a competition. The third columns are the points or goals scored by individual in the first columns. The fourth column are the points/goals scored by the individual in the second column. |
Value
A vector of ratings
Further details
ties are considered to be half-wins.
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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