gl.unequal: Generate Levels with Unequal Sample SIzes
In BitEcology/DTK: Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjusted for Unequal Variances and Unequal Sample Sizes
Description
Usage
Arguments
Value
Note
Author(s)
See Also
Examples
Description
Produces a vector of samples of unequal sizes. Useful when observations are already sorted into groups by levels.
Usage
1
gl.unequal(n = "number of levels", k = "numeric vector of sample sizes")
Arguments
n
Scalar determining the number of levels.
k
Numeric vector specifying the sample size at each level.
Value
Produces a factored vector.
Note
Be sure that you precisely specify the above arguments to correspond to your observation vector.
Author(s)
Matthew K. Lau, Department of Biological Sciences, Northern Arizona University, AZ
See Also
Examples
1
gl.unequal(n=3,k=c(25,30,35))
BitEcology/DTK documentation built on May 28, 2019, 5:43 a.m.
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Description Usage Arguments Value Note Author(s) See Also Examples
Description
Produces a vector of samples of unequal sizes. Useful when observations are already sorted into groups by levels.
Usage
1 | gl.unequal(n = "number of levels", k = "numeric vector of sample sizes")
|
Arguments
n |
Scalar determining the number of levels. |
k |
Numeric vector specifying the sample size at each level. |
Value
Produces a factored vector.
Note
Be sure that you precisely specify the above arguments to correspond to your observation vector.
Author(s)
Matthew K. Lau, Department of Biological Sciences, Northern Arizona University, AZ
See Also
Examples
1 | gl.unequal(n=3,k=c(25,30,35))
|
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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