A point-by-point analysis of a basketball game
NBA_table is a dataframe contains a point-by-point
analysis of a basketball match. Each row corresponds to a point scored.
The first column is the time of the score, the second is the number of
points scored, the third shows which team had possession at the start of
play, and the fourth shows which team scored. The other columns show
the players. Table entries show whether or not that particular player
was on the pitch when the point was scored.
NBA is a
hyper2 object that gives the
log-likelihood function for this dataset. There is a player named
possession” that is a reified entity representing the
effect of possession.
NBA_maxp is not the result of running
was obtained by repeatedly running
maxp_simplex() on a
fault-tolerant system [it triggers a known R bug, bugzilla id 17703,
giving a “
wmmin not finite” error]. It is not clear to me
that likelihood function
NBA has a well-defined global maximum.
Note that function
volley() is not applicable because we need to
These objects can be generated by running script
inst/NBA.Rmd, which includes some further discussion and
technical documentation and creates file
resides in the
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.