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nullabor: lineup and Rorschach plots for visual inference

Di Cook, Hadley Wickham, Niladri Roy Chowdhury, Heike Hofmann February 26, 2020

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")

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Install

install.packages('nullabor')

Monthly Downloads

1,205

Version

0.3.9

License

GPL (>= 2)

Issues

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Repository

http://github.com/dicook/nullabor

Maintainer

Di Cook

Last Published

February 25th, 2020

Functions in nullabor (0.3.9)

Calculating the mean distances of each plot in the lineup.

Computing th distance for the null plots

Finds the number of bins in x and y direction which gives the maximum binned distance.

P-value calculations.

Parametric bootstrap residuals.

Rotation residuals.

Residuals simulated by a normal model, with specified sigma

Los Angeles Lakers play-by-play data.

The Rorschach protocol.

The line-up protocol.

Find plot data. If data is not specified, this function will attempt to find the data corresponding to the last ggplot2 created or displayed. This will work in most situations where you are creating the plot and immediately displaying it, but may not work in other situations. In those cases, please specify the data explicitly.

Generate null data with a specific distribution.

Generate null data with null residuals from a model.

Wasp gene expression data.

Distance based on separation of clusters

Sample size calculator

Power calculations.

Bootstrap residuals.

Distance based on the regression parameters

Generate null data by permuting a variable.

Distance for univariate data

Sample turk results

Generate null data by simulating from a time series model.

Binned Distance

Distance based on side by side Boxplots

Calculating the difference between true plot and the null plot with the maximum distance.

Plotting the distribution of the distance measure

Add true data into data frame containing null data sets.

Polls and election results from the 2012 US Election

Conversion rate of 1 Australian Doller (AUD) to 1 US Dollar

Use decrypt to reveal the position of the real data.

Empirical distribution of the distance