View source: R/power_oneway_between.R

power_oneway_between | R Documentation |

Analytic power calculation for one-way between designs.

power_oneway_between(design_result, alpha_level = 0.05)

`design_result` |
Output from the ANOVA_design function |

`alpha_level` |
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)

Superpower documentation built on May 17, 2022, 5:08 p.m.

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