pwr.lancova: Power Calculation for LANCOVA
In lamme: Log-Analytic Methods for Multiplicative Effects
Description
Usage
Arguments
Value
References
Examples
Description
Compute the statistical power of the LANCOVA test.
Usage
1
pwr.lancova(k, n, r_sqrd, rho_sqrd, alpha = 0.05)
Arguments
k
the number of groups.
n
the number of observations per group.
r_sqrd
the expected explained variance (on the logged scale)
rho_sqrd
the pretest-posttest correlation
alpha
the significance level (default=.05)
Value
power
the statistical power of test
References
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale,NJ: Lawrence Erlbaum.
Examples
1
pwr.lancova(3,40,.1,.4,.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 statistical power of the LANCOVA test.
Usage
1 | pwr.lancova(k, n, r_sqrd, rho_sqrd, alpha = 0.05)
|
Arguments
k |
the number of groups. |
n |
the number of observations per group. |
r_sqrd |
the expected explained variance (on the logged scale) |
rho_sqrd |
the pretest-posttest correlation |
alpha |
the significance level (default=.05) |
Value
power |
the statistical power of test |
References
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale,NJ: Lawrence Erlbaum.
Examples
1 | pwr.lancova(3,40,.1,.4,.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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