fwer_sim {wildrwolf} | R Documentation |
Simulate data as in Clarke, Romano & Wolf (2019) to simulate family wise error rates (FWERs)
Description
Simulate data as in Clarke, Romano & Wolf (2019) to simulate family wise error rates (FWERs)
Usage
fwer_sim(rho, N, s, B, G = 20)
Arguments
rho |
The correlation between the outcome variables |
N |
The number of observations |
s |
The number of dependent variables |
B |
The number of bootstrap draws e |
G |
The number of clusters. If NULL, no clustering. |
Value
A 'data.frame' containing unadjusted p-values & p-values adjusted using the methods by Holm and Romano & Wolf (2005), with the following columns
[Package wildrwolf version 0.6.1 Index]