Description Usage Arguments Value Examples
For main treatment effects, use mdes.cra4()
calculate the minimum detectable effect size, power.cra4()
to calculate the statistical power, and mrss.cra4()
to calculate the minimum required sample size.
1 2 3 4 5 6 7 8 9 10 11 12 | mdes.cra4(power=.80, alpha=.05, two.tailed=TRUE,
rho2, rho3, rho4, p=.50, r21=0, r22=0, r23=0, r24=0, g4=0,
n, J, K, L)
power.cra4(es=.25, alpha=.05, two.tailed=TRUE,
rho2, rho3, rho4, p=.50, r21=0, r22=0, r23=0, r24=0, g4=0,
n, J, K, L)
mrss.cra4(es=.25, power=.80, alpha=.05, two.tailed=TRUE,
n, J, K, L0=10, tol=.10,
rho2, rho3, rho4, p=.50,
r21=0, r22=0, r23=0, r24=0, g4=0)
|
power |
statistical power (1-β). |
es |
effect size. |
alpha |
probability of type I error. |
two.tailed |
logical; |
rho2 |
proportion of variance in the outcome between level 2 units (unconditional ICC2). |
rho3 |
proportion of variance in the outcome between level 3 units (unconditional ICC3). |
rho4 |
proportion of variance in the outcome between level 4 units (unconditional ICC4). |
p |
proportion of level 4 units randomly assigned to treatment. |
g4 |
number of covariates at level 4. |
r21 |
proportion of level 1 variance in the outcome explained by level 1 covariates. |
r22 |
proportion of level 2 variance in the outcome explained by level 2 covariates. |
r23 |
proportion of level 3 variance in the outcome explained by level 3 covariates. |
r24 |
proportion of level 4 variance in the outcome explained by level 4 covariates. |
n |
harmonic mean of level 1 units across level 2 units (or simple average). |
J |
harmonic mean of level 2 units across level 3 units (or simple average). |
K |
harmonic mean of level 3 units across level 4 units (or simple average). |
L |
number of level 4 units. |
L0 |
starting value for |
tol |
tolerance to end iterative process for finding |
fun |
function name. |
parms |
list of parameters used in power calculation. |
df |
degrees of freedom. |
ncp |
noncentrality parameter. |
power |
statistical power (1-β). |
mdes |
minimum detectable effect size. |
L |
number of level 4 units. |
1 2 3 4 5 6 7 | # cross-checks
mdes.cra4(rho4=.05, rho3=.05, rho2=.10,
n=10, J=2, K=3, L=20)
power.cra4(es = .412, rho4=.05, rho3=.05, rho2=.10,
n=10, J=2, K=3, L=20)
mrss.cra4(es = .412, rho4=.05, rho3=.05, rho2=.10,
n=10, J=2, K=3)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.