Fictional "Trackmania" Racing Data for Interrupted Time-Series

A simulated dataset for an interrupted time-series (ITS) design. The data follows two groups of race car drivers ("Training" and "Control") over 10 lap attempts. An intervention occurs after the 5th attempt, designed to affect both the immediate performance (jump) and the subsequent learning rate (slope change) of the Training group.

Usage

trackmania

Format

A tibble with 400 rows and 4 variables:

driver_id

An integer representing the unique identifier for each driver.

group

A character vector indicating the experimental group ("Training" or "Control").

attempt

An integer representing the lap attempt number (from 1 to 10).

lap_time_sec

A numeric value for the outcome, the lap time in seconds.

Source

Simulated data from a time-series model including fixed effects for a pre-intervention slope, a post-intervention jump, and a post-intervention slope change, plus random effects for driver talent (intercept) and learning rate (slope).