SShDwSE: SShD and its Standard Error via a Bootstrap
In TWilliamBell/angler: calculate sexual shape and size dimorphism from landmark data
SShDwSE R Documentation
SShD and its Standard Error via a Bootstrap
Description
SShD and its Standard Error via a Bootstrap
Usage
SShDwSE(Coords, Sex, rep = 1000)
Arguments
Coords
Two-dimensional array of coordinates from geometric morphometric analysis (see two.d.array() in geomorph for correct formatting)
Sex
A character or factor vector recording sex for each individual as 'm' or 'f'
rep
The number of times that you wish the resampling to be done, defaults to 1000 but more is better except for very small samples.
TWilliamBell/angler documentation built on March 31, 2022, midnight
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| SShDwSE | R Documentation |
SShD and its Standard Error via a Bootstrap
Description
SShD and its Standard Error via a Bootstrap
Usage
SShDwSE(Coords, Sex, rep = 1000)
Arguments
Coords |
Two-dimensional array of coordinates from geometric morphometric analysis (see two.d.array() in geomorph for correct formatting) |
Sex |
A character or factor vector recording sex for each individual as 'm' or 'f' |
rep |
The number of times that you wish the resampling to be done, defaults to 1000 but more is better except for very small samples. |
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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