Reliability estimators

Source: R/reliability_analysis.R

reliability_estimators provides reliability estimators using the OLP regression model, where trial1 is the outcome variable, and trial2 is the predictor.

reliability_estimators(
  data,
  trial1,
  trial2,
  SESOI_lower = 0,
  SESOI_upper = 0,
  na.rm = FALSE
)

Arguments

data

Data frame
trial1

Character vector indicating column name in the data
trial2

Character vector indicating column name in the data
SESOI_lower

Lower smallest effect size of interest threshold
SESOI_upper

Upper smallest effect size of interest threshold
na.rm

Should NAs be removed? Default is FALSE

Value

Named vector with reliability estimators

Examples

data("agreement_data")

reliability_estimators(
  data = agreement_data,
  trial1 = "Practical_score.trial1",
  trial2 = "Practical_score.trial2"
)
#>  SESOI lower  SESOI upper  SESOI range    Intercept        Slope          RSE 
#>    0.0000000    0.0000000    0.0000000    4.3847186    0.9170754    1.3749629 
#>  Pearson's r    R Squared SESOI to RSE         PPER           TE          SDC 
#>    0.9718531    0.9444984    0.0000000    0.0000000    0.9722456    2.8778305