HallLab/clarite: CLeaning to Analysis: Reproducibility-based Interface for Traits and Exposures
The goal of 'clarite' is to guide a dataset from the raw data stage to EWAS analysis and subsequent visualization of results. The package is designed to lead a user through the stages of data cleaning: from generating descriptive statistics, to making QC decisions informed by the descriptive statistics, to running analyses on the filtered dataset and visualizing the results.
Getting started
Browse package contents
Package details |
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| Maintainer | Molly Hall <mah546@psu.edu> |
| License | GPL-3 |
| Version | 1.4.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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