In khughitt/eda: Exploratory Data Analysis in R

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Note Feb 26, 2018: This library is currently in the early stages of development and is likely to change significantly over time. Feedback and suggestions are welcome!

Overview

eda is a package containing helper classes to assist with exploratory data analysis. Object instances are constructed from one or more datasets, including optional row and column metadata, and methods are provided for computing useful summary statistics and visualizations. The overall focus of the package is on simplicity, with the aim of allowing users to quickly get a feel for a new dataset with as few lines of code as possible. As such, some assumptions are made about the types of visualizations to be made, and customization of plots is limited compared to those created by hand.

In order to support as wide a range of datasets as possible, a class hierarchy has been created, including both generic data classes (EDAMatrix and EDAMultiMatrix), as well as domain-specific classes (e.g. BioDataSet). Users also have the ability to inherit from any of the provided classes (which are built on top of the R6 class framework) in order to construct new domain-specific classes.

Installation

The easiest way to install eda is using the install_github() function from devtools:

devtools::install_github('khughitt/eda')

Usage Example

library('eda')
data(diamonds, package='ggplot2')

dat <- EDAMatrix$new(diamonds)

khughitt/eda documentation built on May 7, 2019, 10:52 p.m.