QuantileData: Quantile Mediation Dataset for HIMA Demo
In HIMA: High-Dimensional Mediation Analysis
QuantileData R Documentation
Quantile Mediation Dataset for HIMA Demo
Description
A dataset containing phenotype data and high-dimensional mediators for quantile mediation analysis.
The dataset was simulated using parameters generated from real data.
Usage
QuantileData
Format
A list with the following components:
- PhenoData
A data frame containing:
- Treatment
treated (value = 1) or not treated (value = 0).
- Outcome
an abnormally distributed continuous outcome variable.
- Sex
female (value = 1) or male (value = 0).
- Age
age of the participant.
- Mediator
A matrix of high-dimensional mediators (rows: samples, columns: variables).
Examples
data(QuantileData)
head(QuantileData$PhenoData)
HIMA documentation built on April 4, 2025, 3:37 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| QuantileData | R Documentation |
Quantile Mediation Dataset for HIMA Demo
Description
A dataset containing phenotype data and high-dimensional mediators for quantile mediation analysis. The dataset was simulated using parameters generated from real data.
Usage
QuantileData
Format
A list with the following components:
- PhenoData
A data frame containing:
- Treatment
treated (value = 1) or not treated (value = 0).
- Outcome
an abnormally distributed continuous outcome variable.
- Sex
female (value = 1) or male (value = 0).
- Age
age of the participant.
- Mediator
A matrix of high-dimensional mediators (rows: samples, columns: variables).
Examples
data(QuantileData)
head(QuantileData$PhenoData)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.