Analysis of Factorial Experiments
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Documentation for package ‘afex’ version 1.3-1
Help Pages
| afex-package | Analysis of Factorial Experiments |
| afex | Analysis of Factorial Experiments |
| afex_aov-methods | Methods for afex_aov objects |
| afex_options | Set/get global afex options |
| afex_plot | m-way Plot with Error Bars and Raw Data |
| afex_plot.afex_aov | m-way Plot with Error Bars and Raw Data |
| afex_plot.default | m-way Plot with Error Bars and Raw Data |
| afex_plot.merMod | m-way Plot with Error Bars and Raw Data |
| afex_plot.mixed | m-way Plot with Error Bars and Raw Data |
| anova.afex_aov | Methods for afex_aov objects |
| aov_4 | Convenient ANOVA estimation for factorial designs |
| aov_car | Convenient ANOVA estimation for factorial designs |
| aov_ez | Convenient ANOVA estimation for factorial designs |
| compare.2.vectors | Compare two vectors using various tests. |
| emm_basis.afex_aov | Methods for afex_aov objects |
| ems | Expected values of mean squares for factorial designs Implements the Cornfield-Tukey algorithm for deriving the expected values of the mean squares for factorial designs. |
| fhch2010 | Data from Freeman, Heathcote, Chalmers, & Hockley (2010) |
| fitted.afex_aov | Extract Residuals and Fitted Values from 'afex_aov' objects |
| interaction_plot | m-way Plot with Error Bars and Raw Data |
| ks2013.3 | Data from Klauer & Singmann (2013, Experiment 3) |
| laptop_urry | Replication of Laptop Note Taking Study (Urry et al. 2021, Psych. Science) |
| lmer_alt | p-values for fixed effects of mixed-model via lme4::lmer() |
| md_12.1 | Data 12.1 from Maxwell & Delaney |
| md_15.1 | Data 15.1 / 11.5 from Maxwell & Delaney |
| md_16.1 | Data 16.1 / 10.9 from Maxwell & Delaney |
| md_16.4 | Data 16.4 from Maxwell & Delaney |
| mixed | p-values for fixed effects of mixed-model via lme4::lmer() |
| nice | Make nice ANOVA table for printing. |
| nice.afex_aov | Make nice ANOVA table for printing. |
| nice.anova | Make nice ANOVA table for printing. |
| nice.mixed | Make nice ANOVA table for printing. |
| obk.long | O'Brien Kaiser's Repeated-Measures Dataset with Covariate |
| oneway_plot | m-way Plot with Error Bars and Raw Data |
| predict.afex_aov | Predict method for 'afex_aov' objects |
| print.afex_aov | Methods for afex_aov objects |
| print.nice_table | Make nice ANOVA table for printing. |
| recover_data.afex_aov | Methods for afex_aov objects |
| residuals.afex_aov | Extract Residuals and Fitted Values from 'afex_aov' objects |
| round_ps | Helper functions for rounding p-values |
| round_ps_apa | Helper functions for rounding p-values |
| set_default_contrasts | Set global contrasts |
| set_deviation_contrasts | Set global contrasts |
| set_effects_contrasts | Set global contrasts |
| set_sum_contrasts | Set global contrasts |
| set_treatment_contrasts | Set global contrasts |
| sk2011.1 | Data from Singmann & Klauer (2011, Experiment 1) |
| sk2011.2 | Data from Singmann & Klauer (2011, Experiment 2) |
| stroop | Stroop data from Lin et al. (2020, Psych. Science) |
| summary.afex_aov | Methods for afex_aov objects |