volleyball.RdResults from the NOCS volleyball league. Object
volleyball_table is a matrix in which each column corresponds to
a player and each row corresponds to a volleyball set; volleyball
is the corresponding likelihood function in the form of a hyper2
distribution.
data(volleyball)A volleyball set is a Bernoulli trial between two disjoint subsets of
the players. The two subsets are denoted (after the game) as the
“winners” and the “losers”: these are denoted by 1
and 0 respectively.
Thus the first line reads of volleyball_results reads:
p1 p2 p3 p4 p5 p6 p7 p8 p9
1 0 NA 1 0 0 NA 1 NA
showing that the teams were p1, p4 and p8 against
p2, p5 and p6; players p3, p7 and
p9 did not play.
These datasets illustrate the fact that such Bernoulli trials are only weakly informative.
These objects can be generated by running script
inst/volleyball.Rmd, which includes some further discussion and
technical documentation and creates file volleyball.rda which
resides in the data/ directory.
The dataset is used in an example at zipf.Rd: the players'
strengths are not Zipf.
Volleyball games at NOCS, 2006-2008
Robin K. S. Hankin (2010). “A Generalization of the Dirichlet Distribution”, Journal of Statistical Software, 33(11), 1-18
volleyball == volley(volleyball_table) # should be TRUE
#> [1] TRUE