G6Fun: segregation analysis of G6 population
In SEA: Segregation Analysis
G6Fun R Documentation
segregation analysis of G6 population
Description
Phenotypic observations in G6 population have often been used to identify mixed major-gene plus polygene inheritance model for quantitative traits in plants.
Usage
G6Fun(df,model)
Arguments
df
phenotype matrix.
model
genetic model.
Author(s)
Wang Jing-Tian, Zhang Ya-Wen, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>
Examples
G6=data(G6exdata)
G6Fun(G6exdata,"PG-AD")
SEA documentation built on March 30, 2022, 9:06 a.m.
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| G6Fun | R Documentation |
segregation analysis of G6 population
Description
Phenotypic observations in G6 population have often been used to identify mixed major-gene plus polygene inheritance model for quantitative traits in plants.
Usage
G6Fun(df,model)
Arguments
df |
phenotype matrix. |
model |
genetic model. |
Author(s)
Wang Jing-Tian, Zhang Ya-Wen, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>
Examples
G6=data(G6exdata) G6Fun(G6exdata,"PG-AD")
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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