View source: R/power_oneway_between.R
Analytic power calculation for one-way between designs.
power_oneway_between(design_result, alpha_level = 0.05)
Output from the ANOVA_design function
Alpha level used to determine statistical significance
mu = means
sigma = standard deviation
n = sample size
alpha_level = alpha level
Cohen_f = Cohen f
f_2 = Cohen's f^2
lambda = lambda
F_critical = Critical F-value
power = power
df1 = degrees of freedom for the effect
df2 = degrees of freedom of the error
eta_p_2 = partial eta-squared
mean_mat = matrix of the means
too be added
## Set up a within design with one factor with 2 levels, ## 40 participants (woh do all conditions), and standard deviation of 2 ## with a mean pattern of 1, 0, 1, conditions labeled 'condition' ## with names for levels of "cheerful", "neutral", "sad" design_result <- ANOVA_design(design = "3b", n = 40, mu = c(1, 0, 1), sd = 2, labelnames = c("condition", "cheerful", "neutral", "sad")) power_result <- power_oneway_between(design_result, alpha_level = 0.05)
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