BSphe: Simulated phenotypic data
In dlmap: Detection Localization Mapping for QTL
Description
Usage
Format
References
Examples
Description
Phenotypic data simulated with BSdat which has multiple observations per genotype
Usage
1
Format
A data frame with three columns:
- ID:
the ID for each individual. These are the same 250
individuals appearing in BSdat, each with 4 replicates
- Block:
a factor with 4 levels indicating the replicate
- phenotype:
the phenotype value. It is generated from the same
QTL effects as in BSdat, with the additional block effect and random error
References
Broman, KW and Speed TP. 2002. A model selection approach for the identification of quantitative trait loci in experimental crosses. JRSS-B 64:641-656.
Examples
1
2
3
dlmap documentation built on May 2, 2019, 2:45 a.m.
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Description Usage Format References Examples
Description
Phenotypic data simulated with BSdat which has multiple observations per genotype
Usage
1 |
Format
A data frame with three columns:
- ID:
the ID for each individual. These are the same 250 individuals appearing in BSdat, each with 4 replicates
- Block:
a factor with 4 levels indicating the replicate
- phenotype:
the phenotype value. It is generated from the same QTL effects as in BSdat, with the additional block effect and random error
References
Broman, KW and Speed TP. 2002. A model selection approach for the identification of quantitative trait loci in experimental crosses. JRSS-B 64:641-656.
Examples
1 2 3 |
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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