Description Usage Arguments Value References Examples
Convenience function to plot power across a range of sample sizes.
1 2 | plot_power(design_result, alpha_level, min_n = 7, max_n = 100,
plot = TRUE)
|
design_result |
Output from the ANOVA_design function |
alpha_level |
Alpha level used to determine statistical significance |
min_n |
Minimum sample size in power curve. |
max_n |
Maximum sample size in power curve. |
plot |
Should power plot be printed (defaults to TRUE) |
Returns plot with power curves for the ANOVA, and a dataframe with the summary data.
too be added
1 2 3 4 5 6 7 8 | design_result <- ANOVA_design(design = "3b",
n = 20,
mu = c(0,0,0.3),
sd = 1,
labelnames = c("condition",
"cheerful", "neutral", "sad"))
plot_power(design_result, min_n = 50, max_n = 70)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.