Description Usage Arguments Value References Examples

Simulates on exact empirical data set from the design to calculate power

1 2 | ```
ANOVA_exact(design_result, correction = "none", alpha_level,
verbose = TRUE)
``` |

`design_result` |
Output from the ANOVA_design function |

`correction` |
Set a correction of violations of sphericity. This can be set to "none", "GG" Grennhouse-Geisser, and "HF" Huynh-Feldt |

`alpha_level` |
Alpha level used to determine statistical significance |

`verbose` |
Set to FALSE to not print results (default = TRUE) |

Returns dataframe with simulation data (power and effect sizes), anova results and simple effect results, plot of exact data, and alpha_level.

to be added

1 2 3 4 5 6 7 8 9 10 | ```
## Set up a within design with 2 factors, each with 2 levels,
## with correlation between observations of 0.8,
## 40 participants (who do all conditions), and standard deviation of 2
## with a mean pattern of 1, 0, 1, 0, conditions labeled 'condition' and
## 'voice', with names for levels of "cheerful", "sad", amd "human", "robot"
design_result <- ANOVA_design(design = "2w*2w", n = 40, mu = c(1, 0, 1, 0),
sd = 2, r = 0.8, labelnames = c("condition", "cheerful",
"sad", "voice", "human", "robot"))
set.seed(252)
exact_result <- ANOVA_exact(design_result, alpha_level = 0.05)
``` |

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