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nullabor  

Tools for Graphical Inference
View on CRAN: Click here


Download and install nullabor package within the R console
Install from CRAN:
install.packages("nullabor")

Install from Github:
library("remotes")
install_github("cran/nullabor")

Install by package version:
library("remotes")
install_version("nullabor", "0.3.15")



Attach the package and use:
library("nullabor")
Maintained by
Di Cook
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-03-01
Latest Update: 2025-02-10
Description:
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.
How to cite:
Di Cook (2011). nullabor: Tools for Graphical Inference. R package version 0.3.15, https://cran.r-project.org/web/packages/nullabor. Accessed 01 Jul. 2026.
Previous versions and publish date:
0.1 (2011-03-01 16:51), 0.2.1 (2012-07-23 20:06), 0.2 (2012-05-08 06:07), 0.3.0 (2014-10-29 09:27), 0.3.1 (2014-12-17 17:57), 0.3.5 (2018-09-24 00:20), 0.3.9 (2020-02-25 22:50), 0.3.12 (2024-07-21 08:40)
Other packages that cited nullabor R package
View nullabor citation profile
Other R packages that nullabor depends, imports, suggests or enhances
Complete documentation for nullabor
Functions, R codes and Examples using the nullabor R package
Some associated functions: add_true . aud . bin_dist . box_dist . calc_diff . calc_mean_dist . decrypt . distmet . distplot . electoral . find_plot_data . lal . lineup . null_dist . null_gen . null_lm . null_permute . null_ts . opt_bin_diff . pvisual . reg_dist . resid_boot . resid_pboot . resid_rotate . resid_sigma . rorschach . sample_size . sep_dist . turk_results . uni_dist . visual_power . wasps . 
Some associated R codes: Full nullabor package functions and examples
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