| comorbidData {comorbidPGS} | R Documentation |
Mock dataset for comorbidPGS package
Description
A dataset with sets of PGSs, Phenotypes and Covariates to demo the comorbidPGS package
Usage
comorbidData
Format
who
A data frame with 10,000 rows (individuals) and 16 columns:
- ID
Individual's identifier, characters
- sex
Sex of the individuals, binary numeric values
- age
Age of the individuals, numeric value
- gen_array
The genotypic array used for those individuals, factor values
- ethnicity
The ethnicity of individuals, can be also used as Categorical Phenotype, factor values
- brc_PGS, t2d_PGS, ldl_PGS
Three distributions of PGS for Breast Cancer, Type 2 Diabetes and Hypertension respectively; numeric values
- brc, t2d, hypertension
Three Cases/Controls Phenotypes, representing Breast Cancer, Type 2 Diabetes and Hypertension respectively; binary values
- ldl, bmi, sbp
Three Continuous Phenotypes, representing low-density lipoprotein, body-mass index, and systolic blood pressure respectively; numeric values
- log_ldl
A continuous Phenotype, based on log(ldl) to have a normal distribution; numeric values
- sbp_cat
An Ordered Categorical Phenotype, with 3 possible outcomes: low, normal or high systolic blood pressure; factor values
Source
https://github.com/VP-biostat/comorbidPGS