Facilitates easy analysis of factorial experiments, including purely within-Ss designs (a.k.a. "repeated measures"), purely between-Ss designs, and mixed within-and-between-Ss designs. The functions in this package aim to provide simple, intuitive and consistent specification of data analysis and visualization. Visualization functions also include design visualization for pre-analysis data auditing, and correlation matrix visualization. Finally, this package includes functions for non-parametric analysis, including permutation tests and bootstrap resampling. The bootstrap function obtains predictions either by cell means or by more advanced/powerful mixed effects models, yielding predictions and confidence intervals that may be easily visualized at any level of the experiment's design.
Version: 4.4-0 Depends: R (≥ 3.1) Imports: car (≥ 2.1-3), ggplot2 (≥ 2.1.0), lme4 (≥ 1.1-12), MASS (≥ 7.3-45), Matrix (≥ 1.2-7.1), mgcv (≥ 1.8-12), plyr (≥ 1.8.4), reshape2 (≥ 1.4.2), scales (≥ 0.4.0), stringr (≥ 1.1.0) Published: 2016-11-02 DOI: 10.32614/CRAN.package.ez Author: Michael A. Lawrence Maintainer: Michael A. Lawrence <mike.lwrnc at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: http://github.com/mike-lawrence/ez NeedsCompilation: no In views: ExperimentalDesign, MixedModels CRAN checks: ez results Documentation: Downloads: Reverse dependencies: Reverse depends: npIntFactRep, RcmdrPlugin.EACSPIR, TriMatch Reverse imports: MOTE, multifear, neatStats, negligible, psychReport, psyntur, pwr2ppl, tradeoffaucdim Reverse suggests: afex, apa, schoRsch Linking:Please use the canonical form https://CRAN.R-project.org/package=ez to link to this page.
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