Challenge_dat: Genetic, metabolite, and outcome data for the 2019 MR...
In WSpiller/MRChallenge2019: An R package containing data for the MR Conference Data Challenge 2019
Description
Usage
Format
Details
Author(s)
Source
Description
A dataset containing summary data for the estimated associations between 118 metabolite risk factors and
150 genetic variants, with metabolite information quantified using nuclear magnetic resonance (NMR) spectroscopy
metabolomics. The data also includes information on 7 outcomes; age-related macular degeneration, alzheimers's disease,
type 2 diabetes, Ischemic stroke, large artery stroke, cardioembolic stroke, and small vessel stroke.
Usage
1
Format
A data frame with 150 rows and 267 variables. A full description of the data is available
by using the command vignette("challenge").
Details
Challenge_dat.
Author(s)
Wes Spiller; Jack Bowden; Verena Zuber.
Source
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WSpiller/MRChallenge2019 documentation built on Oct. 1, 2019, 11:34 p.m.
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Description Usage Format Details Author(s) Source
Description
A dataset containing summary data for the estimated associations between 118 metabolite risk factors and 150 genetic variants, with metabolite information quantified using nuclear magnetic resonance (NMR) spectroscopy metabolomics. The data also includes information on 7 outcomes; age-related macular degeneration, alzheimers's disease, type 2 diabetes, Ischemic stroke, large artery stroke, cardioembolic stroke, and small vessel stroke.
Usage
1 |
Format
A data frame with 150 rows and 267 variables. A full description of the data is available
by using the command vignette("challenge").
Details
Challenge_dat.
Author(s)
Wes Spiller; Jack Bowden; Verena Zuber.
Source
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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