{ "_id": "6ad8fc9e021a938ed758dceb", "Package": "oes", "Type": "Package", "Title": "Optimal Effect-Size-Based Y-Axis Ranges", "Version": "1.0.0", "Authors@R": "c(\nperson(\"Shuo\", \"Zang\", email = \"zshuo070@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0009-0000-4387-8145\",\naffiliation = \"School of Psychology, University of Ottawa\")),\nperson(\"Denis\", \"Cousineau\", role = c(\"aut\", \"cph\"),\ncomment = c(affiliation = \"School of Psychology, University of Ottawa\")))", "Description": "Calculates effect-size-informed y-axis recommendations for\nvisualizations of independent, repeated-measures, and mixed\ndesigns. Summarizes selected error bars, estimates conditional\nstandardized contrasts, and generalizes range-expansion rules\nusing constants from single-factor, two-level studies of\nCohen's d. Recommendations beyond that studied setting have not\nbeen empirically validated. Provides numerical results and\n'ggplot2' visualizations, including summary plots and\npreservation of supplied plot layouts. Confidence-interval\nadjustment options follow the distinctions in Cousineau (2017)\n, including difference adjustment and\ncombined repeated-measures adjustment. Within-subject base\nintervals use the normalization of Cousineau (2005)\n with the bias correction of Morey\n(2008) . Correlation-only\nintervals and intervals with both adjustments are separate\noptions. 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