vald.extractor (version 0.1.1)

summary_vald_metrics: Dynamic Summary Table for Performance Metrics

Description

Creates a comprehensive summary table showing mean, standard deviation, coefficient of variation, and sample size for all numeric performance metrics. Can be grouped by test type, sex, sport, or any combination thereof.

Usage

summary_vald_metrics(
  data,
  group_vars = c("sex", "sports"),
  exclude_cols = c("profileId", "athleteId", "testId", "Testdate", "dateofbirth", "age",
    "Weight_on_Test_Day"),
  digits = 2
)

Value

Data frame with summary statistics (Mean, SD, CV, N) for each metric and grouping combination.

Arguments

data

Data frame. Test data (typically from split_by_test()).

group_vars

Character vector. Variables to group by. Default is c("sex", "sports").

exclude_cols

Character vector. Column names to exclude from summary (typically metadata columns). Default includes common ID and date fields.

digits

Integer. Number of decimal places for rounding. Default is 2.

Details

Generate Summary Statistics for VALD Metrics

Examples

# \donttest{
if (FALSE) {
  test_datasets <- split_by_test(final_analysis_data)
  cmj_summary <- summary_vald_metrics(
    data = test_datasets$CMJ,
    group_vars = c("sex", "sports")
  )
  print(cmj_summary)
}
# }