univariate_beta: BMI Univariate beta regression coefficient.
In GMELab/GraBLD: Gradient Boosted and LD adjusted
Description
A dataset containing the univariate regression coefficient of 927 SNPs for association with BMI from the simulated data.
Usage
1
Format
A data frame with 927 rows and 2 variables:
The univariate regression coefficients were computed from the simulated
datasets BMI and geno using:
coef(summary(lm(pheno_data ~ geno[,j])))[2,1].
Both genotype data and phenotype data over individuals need to be standardized with mean = 0 and variance = 1.
- V1
chromosome
- V2
BMI univariate regression coefficient
...
GMELab/GraBLD documentation built on May 4, 2019, 3:20 p.m.
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Description
A dataset containing the univariate regression coefficient of 927 SNPs for association with BMI from the simulated data.
Usage
1 |
Format
A data frame with 927 rows and 2 variables:
The univariate regression coefficients were computed from the simulated
datasets BMI and geno using:
coef(summary(lm(pheno_data ~ geno[,j])))[2,1].
Both genotype data and phenotype data over individuals need to be standardized with mean = 0 and variance = 1.
- V1
chromosome
- V2
BMI univariate regression coefficient
...
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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