SESOI upper threshold for validity_analysis

SESOI_upper_validity_func(data, criterion, practical, na.rm = FALSE)

Arguments

data

Data frame

criterion

Character vector. Column name in data data frame

practical

Character vector. Column name in data data frame

na.rm

Should NAs be removed? Default is FALSE

Value

SD of criterion column of the data data frame multiplied by 0.2 (Cohen's trivial)

Examples

data("agreement_data") SESOI_upper_validity_func( data = agreement_data, criterion = "Criterion_score.trial1", practical = "Practical_score.trial1" )
#> [1] 1.084614