Tools for Graphical Inference

Tools for visual inference. Generate null data sets and null plots using permutation and simulation. Calculate distance metrics for a lineup, and examine the distributions of metrics.


nullabor: lineup and Rorschach plots for visual inference

Di Cook, Hadley Wickham, Niladri Roy Chowdhury, Heike Hofmann, Mans Thulin November 29, 2024

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

install.packages("nullabor")

You can install the development version of nullabor from github with:

# install.packages("devtools")
devtools::install_github("dicook/nullabor")

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("nullabor")

0.3.16 by Di Cook, 16 days ago


https://github.com/dicook/nullabor


Report a bug at https://github.com/dicook/nullabor/issues


Browse source code at https://github.com/cran/nullabor


Authors: Hadley Wickham [aut, ctb] (ORCID: , Niladri Roy Chowdhury [aut, ctb] , Di Cook [aut, cre] , Heike Hofmann [aut, ctb] (ORCID: , Måns Thulin [aut, ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports MASS, moments, fpc, ggplot2, dplyr, purrr, tidyr, tibble, magrittr, stats

Suggests forecast, viridis, knitr, rmarkdown


Imported by metaviz, regressinator.

Suggested by agridat.


See at CRAN