Package index • injurytools

Prepare sports injury and illness data

Functions that preprocess and prepare these type of data in a standardized format.

prepare_inj() prepare_exp() prepare_all(): Prepare data in a standardized format

Compute injury summary statistics

Functions to estimate sports injury summary statistics.

calc_summary(): Calculate summary statistics

calc_prevalence(): Calculate prevalence proportion

calc_ncases(): Calculate number of cases

calc_ndayslost(): Calculate number of days lost

calc_mean_dayslost(): Calculate the mean days lost

calc_median_dayslost(): Calculate the median days lost

calc_iqr_dayslost(): Calculate the interquartile range days lost

calc_exposure(): Calculate the exposure time

calc_incidence(): Calculate case incidence rate

calc_burden(): Calculate case burden rate

Visualize sports injury data

Functions to visualize relevant information in sports injury data.

gg_photo(): Plot injuries and illnesses over the follow-up period

gg_riskmatrix(): Plot risk matrices

gg_prevalence(): Plot polar area diagrams representing players' prevalence

gg_rank(): Plot athlete's health problem incidence or burden ranking

Data sets

Internal data sets to illustrate injurytools functionalities.

raw_df_exposures: Minimal example of exposure data

raw_df_injuries: Minimal example of injury data

injd: Example of an injd object

Utilities

Utility functions.

date2season(): Get the season

season2year(): Get the year

cut_injd(): Cut the range of the follow-up

is_injd(): Check if an object is of class injd

get_data_followup(): Extract follow-up data frame

get_data_injuries(): Extract injury/illness data frame

get_data_exposures(): Extract exposures data frame