https://github.com/dicook/nullabor
Tools for doing statistical inference using data plots
https://github.com/dicook/nullabor
Last synced: about 1 year ago
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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 13 years ago)
- Default Branch: master
- Last Pushed: 2025-02-10T04:41:19.000Z (over 1 year ago)
- Last Synced: 2025-03-27T04:51:28.427Z (about 1 year ago)
- Language: R
- Homepage: http://dicook.github.io/nullabor/
- Size: 32.4 MB
- Stars: 56
- Watchers: 5
- Forks: 9
- Open Issues: 0
-
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, Mans Thulin"
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")
```