gws: Genome-wide computation
In Kevinpen/SNPgrou: Association of SNP to Multiple Phenotypic Traits Group
Description
Usage
Arguments
Value
Examples
Description
Compute gScore for every locus, data need preparation
Usage
1
Arguments
hap
The data from genome wide phenotype records and SNP, in data frame format
First row is the phenotype, followed by all genotype SNPs in all loci.
The data scoure: from "SNPassoc" package, but phenotype data are simulated from binary to 3 levels
rep
The number of replication of cross-validation in calculating gScore
(In genome-wide computation, larger than 10 rep will be slow)
Value
The object of type "gScore", with attribute of "filt", the actual gScores and other
results can be get from summary.gws function
Examples
1
2
Kevinpen/SNPgrou documentation built on Dec. 8, 2019, 8:32 a.m.
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Description Usage Arguments Value Examples
Description
Compute gScore for every locus, data need preparation
Usage
1 |
Arguments
hap |
The data from genome wide phenotype records and SNP, in data frame format First row is the phenotype, followed by all genotype SNPs in all loci. The data scoure: from "SNPassoc" package, but phenotype data are simulated from binary to 3 levels |
rep |
The number of replication of cross-validation in calculating gScore (In genome-wide computation, larger than 10 rep will be slow) |
Value
The object of type "gScore", with attribute of "filt", the actual gScores and other results can be get from summary.gws function
Examples
1 2 |
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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