mkearney/datacenter: Create, Add, and Update Centralized Data

An 'R6' class for centralizing data. The datacenter object enables memory-efficient joining, binding, and updating (e.g., replacing missing values) of id-anchored data sets. This is especially useful when variable values for the same observations are spread across several different data sets.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.0.1
URL https://github.com/mkearney/datacenter
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("mkearney/datacenter")
mkearney/datacenter documentation built on May 9, 2019, 1:10 a.m.