Supplementary materials to: Bootstrap confidence intervals for 11 robust correlations in the presence of outliers and leverage observations

Supplementary materials to: Li, J. C. (2022). Bootstrap confidence intervals for 11 robust correlations in the presence of outliers and leverage observations. Methodology, 18(2). https://doi.org/10.5964/meth.8467 The supplementary materials provide in Part A the simulation code used in the present study. Part B provide a real-world example based on Mychasiuk’s (2017) behavioral data of 74 adolescent rats to illustrate the differences between Pearson’s and robust correlations and the implications of using robust estimates of bivariate linearity. Using the R Project statistical software (R Core Team, 2017) researchers can use the “robr” function to compute r and each of the robust correlation estimates, together with their bootstrap CIs.