Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/dicook/nullabor
Tools for doing statistical inference using data plots
https://github.com/dicook/nullabor
Last synced: 6 days ago
JSON representation
Tools for doing statistical inference using data plots
- Host: GitHub
- URL: https://github.com/dicook/nullabor
- Owner: dicook
- Created: 2013-02-07T18:35:43.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2024-07-21T22:20:03.000Z (4 months ago)
- Last Synced: 2024-10-11T18:36:02.318Z (27 days ago)
- Language: R
- Homepage: http://dicook.github.io/nullabor/
- Size: 21.1 MB
- Stars: 56
- Watchers: 5
- Forks: 9
- Open Issues: 5
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
Awesome Lists containing this project
README
---
title: "nullabor: lineup and Rorschach plots for visual inference"
author: "Di Cook, Hadley Wickham, Niladri Roy Chowdhury, Heike Hofmann"
date: "`r format(Sys.time(), '%B %d, %Y')`"
output: github_document
---```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```# nullabor
Tools for graphical inference: prevent fooling yourself with the Rorschach
protocol and check the surprising features in your data with the lineup
protocol!## Installation
The nullabor package can be installed from CRAN
```{r cran-installation, eval = FALSE}
install.packages("nullabor")
```You can install the development version of nullabor from github with:
```{r gh-installation, eval = FALSE}
# install.packages("devtools")
devtools::install_github("dicook/nullabor")
```