ss.lancova: Sample Size Planning for LANCOVA
In lamme: Log-Analytic Methods for Multiplicative Effects
Description
Usage
Arguments
Value
References
Examples
Description
Compute the required per-group sample size for the LANCOVA test.
Usage
1
ss.lancova(k, rho_sqrd, r_sqrd, power = 0.8, alpha = 0.05)
Arguments
k
the number of groups.
rho_sqrd
the pretest-posttest correlation
r_sqrd
the expected explained variance by the model (on the logged scale)
power
the desired statistical power (default=.8)
alpha
the significance level (default=.05)
Value
n
the per-group sample size requirement
References
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale,NJ: Lawrence Erlbaum.
Examples
1
ss.lancova(3,.5,.01,.14,.05)
lamme documentation built on May 1, 2019, 7:32 p.m.
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Description Usage Arguments Value References Examples
Description
Compute the required per-group sample size for the LANCOVA test.
Usage
1 | ss.lancova(k, rho_sqrd, r_sqrd, power = 0.8, alpha = 0.05)
|
Arguments
k |
the number of groups. |
rho_sqrd |
the pretest-posttest correlation |
r_sqrd |
the expected explained variance by the model (on the logged scale) |
power |
the desired statistical power (default=.8) |
alpha |
the significance level (default=.05) |
Value
n |
the per-group sample size requirement |
References
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale,NJ: Lawrence Erlbaum.
Examples
1 | ss.lancova(3,.5,.01,.14,.05)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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