GWASbyGLM: Genome-wide association analysis using a general linear...
In rachael-kane/GLM2020: GWAS using GLM
Description
Usage
Arguments
Details
Value
Description
Genome-wide association analysis using a general linear model.
Usage
1
Arguments
y
A numeric matrix containing phenotype data. Dimensions are n rows (individuals) by 1 column.
G
A numeric matrix containing genotype data. Dimensions are n rows (individuals) by m columns (genetic markers).
C
A numeric matrix containing covariate data. Dimensions are n rows (individuals) by t columns (covariates).
The expected input for this parameter is the $cov numeric matrix returned from the cofactor.pca.cor function included in this package.
NC
An integer specifying the number of covariates to retain for analysis.
Details
Numeric matrices should contain only phenotype/genotype/covariate values, no accessory information like taxa ID.
Type vignette("GLM2020_tutorial") for example use.
Value
A numeric matrix containing a p-value for each genetic marker. Dimensions are 1 row by m columns (genetic markers).
rachael-kane/GLM2020 documentation built on March 31, 2020, 12:51 a.m.
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Description Usage Arguments Details Value
Description
Genome-wide association analysis using a general linear model.
Usage
1 |
Arguments
y |
A numeric matrix containing phenotype data. Dimensions are n rows (individuals) by 1 column. |
G |
A numeric matrix containing genotype data. Dimensions are n rows (individuals) by m columns (genetic markers). |
C |
A numeric matrix containing covariate data. Dimensions are n rows (individuals) by t columns (covariates). The expected input for this parameter is the $cov numeric matrix returned from the cofactor.pca.cor function included in this package. |
NC |
An integer specifying the number of covariates to retain for analysis. |
Details
Numeric matrices should contain only phenotype/genotype/covariate values, no accessory information like taxa ID.
Type vignette("GLM2020_tutorial") for example use.
Value
A numeric matrix containing a p-value for each genetic marker. Dimensions are 1 row by m columns (genetic markers).
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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