Calculate the number of days lost due to a sports-related health problem (e.g. injuries) in a cohort during a period.
Arguments
- injd
injd
S3 object (seeprepare_all()
).- by
Character specifying the name of the column according to which compute summary statistics. It should refer to a (categorical) variable that describes a grouping factor (e.g. "type of case or injury", "injury location", "sports club"). Optional, defaults to
NULL
.- overall
Logical, whether to calculate overall (for all the cohort) or athlete-wise summary statistic (i.e. number of cases per cohort of per athlete). Defaults to
TRUE
.
Value
The number of days lost. Either a numeric value (if overall TRUE
)
or a data frame indicating the number of cases per athlete.
Examples
calc_ndayslost(injd)
#> ndayslost
#> 2049
calc_ndayslost(injd, overall = FALSE)
#> # A tibble: 28 × 2
#> person_id ndayslost
#> <fct> <dbl>
#> 1 adam-lallana 302
#> 2 alberto-moreno 50
#> 3 alex-oxlade-chamberlain 316
#> 4 alisson 0
#> 5 andrew-robertson 22
#> 6 daniel-sturridge 122
#> 7 danny-ings 0
#> 8 dejan-lovren 160
#> 9 divock-origi 5
#> 10 dominic-solanke 0
#> # ℹ 18 more rows
calc_ndayslost(injd, by = "injury_type")
#> # A tibble: 5 × 2
#> injury_type ndayslost
#> <fct> <dbl>
#> 1 Bone 173
#> 2 Concussion 213
#> 3 Ligament 596
#> 4 Muscle 735
#> 5 Unknown 332