R/describe_relationship.R
relationship_lm_estimators.Rd
Function that provides a list of estimators for linear relationship between predictor
and outcome
.
User is free to define his own list of estimators. Used in compare_dependent_groups
relationship_lm_estimators( predictor, outcome, SESOI_lower = 0, SESOI_upper = 0, na.rm = FALSE )
predictor | Numeric vector |
---|---|
outcome | Vector |
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 |
Named numeric vector with estimators
data("yoyo_mas_data") predictor <- yoyo_mas_data$YoYoIR1 outcome <- yoyo_mas_data$MAS relationship_lm_estimators(predictor, outcome, SESOI_lower = -0.5, SESOI_upper = 0.5)#> SESOI lower SESOI upper SESOI range Intercept Slope RSE #> -0.500000000 0.500000000 1.000000000 13.159948349 0.001402145 0.218737182 #> Pearson's r R Squared SESOI to RSE PPER #> 0.857917432 0.736022320 4.571696467 0.970243050