https://github.com/MarcusKlik/lazyplyr

A most lazy dplyr implementation for offline datasets
https://github.com/MarcusKlik/lazyplyr

Last synced: about 2 months ago
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A most lazy dplyr implementation for offline datasets

• Host: GitHub
• URL: https://github.com/MarcusKlik/lazyplyr
• Owner: MarcusKlik
• License: mpl-2.0
• Created: 2020-04-22T21:05:16.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-04-02T19:42:30.000Z (over 3 years ago)
• Last Synced: 2024-05-21T00:51:31.672Z (4 months ago)
• Language: R
• Size: 166 KB
• Stars: 6
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output:

  github_document

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "README-"

)

```



[![R-CMD-check](https://github.com/MarcusKlik/lazyplyr/workflows/R-CMD-check/badge.svg)](https://github.com/MarcusKlik/lazyplyr/actions)

## Overview

The [lazyplyr package](https://github.com/marcusklik/lazyplyr) for `R` provides an easy way to create a low-memory-overhead dplyr frontend to offline datasets.

## Installation

You can install the package directly from GitHub:

```{r, eval = FALSE}

devtools::install_github("marcusklik/lazyplyr")

```

## Basic usage