ANOVA_exact: Simulates on exact empirical data set from the design to...

In Lakens/ANOVApower: Simulation-Based Power Analysis for ANOVA Designs

Description

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

Usage

ANOVA_exact(design_result, correction = "none", alpha_level,
  verbose = TRUE)

Arguments

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)

Value

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

References

to be added

Examples

## 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)

Lakens/ANOVApower documentation built on Jan. 9, 2020, 5:32 p.m.