| Title: | Simulation Framework for Sports Physiology and Analytics |
|---|---|
| Description: | Provides a rule-based simulation environment for modeling real-world athlete performance, dynamic training sessions, hierarchical variance, and missing telemetry data. |
| Authors: | Mohammad Abbas [aut, cre] |
| Maintainer: | Mohammad Abbas <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 0.3.0 |
| Built: | 2026-10-28 12:24:59 UTC |
| Source: | https://github.com/cran/sportsfeatures |
Comprehensive Sports Features Dataset (With Missing Values)
data(sports_features_missing)data(sports_features_missing)
A tibble or data frame with 42 variables describing athlete sessions and performance metrics:
Unique alphanumeric identifier for each training session.
Unique alphanumeric identifier for each athlete.
Timestamp of when the training session occurred.
Type of exercise performed (e.g., running, cycling, swimming).
Geographical area where the session took place.
Total distance covered during the session in kilometers.
Weather condition during the session (e.g., sunny, rainy, cloudy).
Ambient outdoor temperature in degrees Celsius.
Pre-activity physical or mental status reported by the athlete.
Logical indicator (TRUE/FALSE) if the session was done with a group.
Categorical gender of the athlete.
Age of the athlete in years.
Baseline fitness score of the athlete.
Baseline average speed capability of the athlete.
Baseline stamina level of the athlete.
Baseline body weight of the athlete in kilograms.
Baseline resting heart rate in beats per minute (bpm).
Type of tracking device used during the session.
Average speed maintained throughout the session in km/h.
Total duration of the training session in minutes.
Average heart rate monitored during the session in bpm.
Estimated total energy expenditure in kilocalories (kcal).
Subjective exhaustion level reported after the session.
Hydration level (%) recorded during or after the session.
Calculated post-activity fatigue accumulation score.
Estimated percentage contribution of the aerobic energy system to total session workload.
Estimated percentage contribution of the anaerobic energy system to total session workload.
Categorical classification of session effort (Aerobic dominant, Mixed, or Anaerobic dominant).
Estimated oxygen consumption rate during the session in mL/kg/min.
Estimated maximal oxygen uptake potential of the athlete in mL/kg/min.
Normalises aerobic demand relative to VO2max; quantifies session intensity as a fraction of physiological capacity.
Captures cardiovascular economy by relating oxygen uptake to heart rate; used to assess aerobic efficiency and readiness.
Represents net cardiovascular elevation above resting state; proxy for internal load and autonomic strain.
Indicates aerobic contribution per unit heart rate; evaluates aerobic system utilisation and metabolic economy.
Normalises fatigue accumulation by distance; models workload-adjusted fatigue dynamics.
Chronic fatigue baseline; separates stable athlete-level fatigue differences from session-level variation.
Within-athlete centred fatigue; isolates session-specific deviations from an athlete's personal fatigue norm.
Chronic volume baseline; captures habitual training load differences between athletes.
Within-athlete centred distance; models session-specific deviations from typical training volume.
Represents external speed demand; used to model performance intensity and pacing strategy.
Normalises metabolic cost by distance; quantifies energetic efficiency and workload economy.
Represents metabolic burn rate; models internal metabolic intensity independent of distance.
A variant of the core sports analytics dataset containing structured missingness (NA values) across performance tracking columns to demonstrate imputation workflows.
Synthesized sports features analytics framework.