NBA | R Documentation |
A point-by-point analysis of a basketball game
data(NBA)
Dataset 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.
Likelihood function 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.
Object NBA_maxp
is not the result of running maxp(NBA)
; it
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.
Object NBA
poses difficulty for the numerical optimization
routines for some reason.
Note that function volley()
is not applicable because we need to
include possession.
These objects can be generated by running script
inst/NBA.Rmd
, which includes some further discussion and
technical documentation and creates file NBA.rda
which
resides in the data/
directory.
https://www.espn.com/nba/playbyplay?gameId=400954514
volleyball
data(NBA)
dotchart(NBA_maxp)
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