BINARY_DF: Toy data with binary outcome

BINARY_DFR Documentation

Toy data with binary outcome

Description

Artificially generated toy data set of 5000 individuals with a binary outcome and a set of categorical and continuous exposure variables

Artificially generated toy data set of 5000 individuals with a numeric outcome and a set of categorical and continuous exposure variables

Usage

data(BINARY_DF)

data(CONT_DF)

Format

An object of class "cross"; see read.cross. #'

ID

ID's of individuals

SEX

sex of individuals (character)

AGE

age (numeric)

COV_Q_OTHER

quantitative covariates (numeric)

COV_C_OTHER

categorical covariate (categorical)

PC_6-14

genetic principal components (randomly generated)

VAR1-18

numeric exposure variables (numeric)

VAR19-35

categorical exposure variables (categorical)

PHENO

binary phenotype (0/1)

TIME

survival time (months)

An object of class "cross"; see read.cross. #'

ID

ID's of individuals

SEX

sex of individuals (character)

AGE

age (numeric)

COV_Q_OTHER

quantitative covariates (numeric)

COV_C_OTHER

categorical covariate (categorical)

PC_6-14

genetic principal components (randomly generated)

VAR1-18

numeric exposure variables (numeric)

VAR19-35

categorical exposure variables (categorical)

PHENO

continuous phenotype (numeric)

References

This data set was artificially created for the PXStools package.

This data set was artificially created for the PXStools package.

Examples


data(BINARY_DF)
head(BINARY_DF)


data(BINARY_DF)
head(BINARY_DF)


yixuanh/PXStools documentation built on July 27, 2022, 10:27 a.m.