Description Usage Arguments Value See Also Examples
Computes statistical power for categorical moderator analysis under fixed and random effects models.
1 2 3 4 5 6 7 8 9 10 |
n_groups |
Numerical value for the levels of a categorical variable. | ||||||||||
effect_sizes |
Numerical values for effect sizes of for each group. | ||||||||||
study_size |
Numerical value for number of participants (per study). | ||||||||||
k |
Numerical value for total number of studies. | ||||||||||
i2 |
Numerical value for Heterogeneity estimate (i^2). | ||||||||||
es_type |
Character reflecting effect size metric: 'r', 'd', or 'or'. | ||||||||||
p |
Numerical value for significance level (Type I error probability). | ||||||||||
con_table |
(Optional) List of numerical values for 2x2 contingency tables as a vector in the following format: c(a,b,c,d). These should be specified for each group(i.e., n_groups).
|
Estimated Power estimates for moderator analysis under fixed- and random-effects models
https://jason-griffin.shinyapps.io/shiny_metapower/
1 2 3 4 5 6 7 8 9 10 11 12 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.