Package: oes 1.0.0

oes: Optimal Effect-Size-Based Y-Axis Ranges

Calculates effect-size-informed y-axis recommendations for visualizations of independent, repeated-measures, and mixed designs. Summarizes selected error bars, estimates conditional standardized contrasts, and generalizes range-expansion rules using constants from single-factor, two-level studies of Cohen's d. Recommendations beyond that studied setting have not been empirically validated. Provides numerical results and 'ggplot2' visualizations, including summary plots and preservation of supplied plot layouts. Confidence-interval adjustment options follow the distinctions in Cousineau (2017) <doi:10.5709/acp-0214-z>, including difference adjustment and combined repeated-measures adjustment. Within-subject base intervals use the normalization of Cousineau (2005) <doi:10.20982/tqmp.01.1.p042> with the bias correction of Morey (2008) <doi:10.20982/tqmp.04.2.p061>. Correlation-only intervals and intervals with both adjustments are separate options. These references support confidence-interval construction, not the range-expansion calibration.

Authors:Shuo Zang [aut, cre, cph], Denis Cousineau [aut, cph]