Description Usage Arguments Details Functions
View source: R/results.model.R
_.results.model()
functions return a data.frame that contains all observations that are required to build
plots from the resulting models. Unlike _.player.profile()
, a player's abilities are not returned concisely.
Rather, this function was built to provide practitioners the ability to plot player's modeled abilities for
simple visualization.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | results.model(
player.data,
testing.data,
game.data,
push.off.angle = 90,
sample.rate = 10,
r2 = 0.95
)
fv.results.model(player.data, testing.data, push.off.angle = 90)
gps.results.model(game.data, sample.rate = 10)
sa.results.model(game.data, r2 = 0.95)
scout.results.model(sprint.data)
fvp.results.model(player.data, player.profile, sprint.duration = 5)
|
player.data |
The player's anthropometric data and testing day weather |
testing.data |
The player's force-velocity testing data |
game.data |
The player's cleaned game data |
push.off.angle |
Push-off angle for force-velocity testing (degrees) |
sample.rate |
The game data sample rate (Hz) |
r2 |
The minimum r^2 when fitting the model |
_.results._()
functions are built with consistency in mind. Therefore, the majority of them take on a player's
observed or tested data. The exception to this rule is fvp._()
functions because secondary analyses are
required before returning a player's profile and modeled data.
The _.results.game()
, _.results.fitted()
, and _.results.observed()
return similar data.frames but
behave differently on the back-end. Therefore, it is suggested that these functions be used for their intended purposes.
fv.results.model
: Force-velocity modeled observations
gps.results.model
: Player tracking data modeled observations
sa.results.model
: Speed-acceleration modeled observations
scout.results.model
: Sprint modeled observations
fvp.results.model
: Force-velocity-power modeled observations
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