snooker: Snooker data
In multifamm: Multivariate Functional Additive Mixed Models

Description Usage Format Source

The data are part of a study on the impact of a muscular training program on snooker technique. 25 recreational snooker players were split into treatment (receiving instructions for a training program) and control group (no training program). The data set contains the movement trajectories of the snooker players in two sessions (before and after the training period), where each snooker player repeated a snooker shot of maximal force six times. The interest lies in the movement of hand, elbow, and shoulder on a two-dimensional grid (called X and Y). The trajectories are normalized on a [0,1] time grid and the beginning of the hand trajectories are centered to the origin.

snooker

A data.frame with 56910 observations and 11 variables:

y_vec: The response values for each observation point.
t: The observations point locations.
n_long: Unique identification number for each curve.
subject_long: Unique identification number for each snooker player.
word_long: Integer specifying the session. 1: Before the training, 2: After the training.
dim: Factor for identifying the univariate dimensions.
combi_long: Number of the repetition of the snooker shot.
covariate.1: Skill level of the snooker player. 0: Unskilled, 1: Skilled.
covariate.2: Group of the snooker player. 0: Control group, 1: Treatment group.
covariate.3: Session indicator. 0: Before the treatment, 1: After the treatment.
covariate.4: Interaction of group and session, i.e. the treatment effect indicator.

Enghofer, T. (2014). Überblick über die Sportart Snooker, Entwicklung eines Muskeltrainings und Untersuchung dessen Einflusses auf die Stoßtechnik. Unpublished Zulassungsarbeit, Technische Universität München.

multifamm documentation built on Sept. 28, 2021, 9:07 a.m.