HWClr: Compute the centred log-ratio transformation
In HardyWeinberg: Statistical Tests and Graphics for Hardy-Weinberg Equilibrium
HWClr R Documentation
Compute the centred log-ratio transformation
Description
HWClr computes the centred log-ratio transformation for
genotype counts of bi-allelic genetic markers.
Usage
HWClr(X, zeroadj = 0.5)
Arguments
X
A matrix of genotype counts (columns AA, AB and BB)
zeroadj
A zero adjustment parameter (0.5 by default)
Value
A matrix or vector of log-ratio coordinates
Author(s)
Jan Graffelman (jan.graffelman@upc.edu)
References
Graffelman, J. and Egozcue, J. J. (2011) Hardy-Weinberg
equilibrium: a non-parametric compositional approach. In: Vera
Pawlowsky-Glahn and Antonella Buccianti (eds.) Compositional Data
Analysis: Theory and Applications, John Wiley & Sons, Ltd, pp. 207-215
See Also
HWAlr,HWIlr
Examples
X <- HWData(100,100)
Y <- HWClr(X)
HardyWeinberg documentation built on May 29, 2024, 6:17 a.m.
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| HWClr | R Documentation |
Compute the centred log-ratio transformation
Description
HWClr computes the centred log-ratio transformation for
genotype counts of bi-allelic genetic markers.
Usage
HWClr(X, zeroadj = 0.5)
Arguments
X |
A matrix of genotype counts (columns AA, AB and BB) |
zeroadj |
A zero adjustment parameter (0.5 by default) |
Value
A matrix or vector of log-ratio coordinates
Author(s)
Jan Graffelman (jan.graffelman@upc.edu)
References
Graffelman, J. and Egozcue, J. J. (2011) Hardy-Weinberg equilibrium: a non-parametric compositional approach. In: Vera Pawlowsky-Glahn and Antonella Buccianti (eds.) Compositional Data Analysis: Theory and Applications, John Wiley & Sons, Ltd, pp. 207-215
See Also
HWAlr,HWIlr
Examples
X <- HWData(100,100)
Y <- HWClr(X)
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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