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nullabor (version 0.3.1)

Tools for Graphical Inference

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.

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Version

Install

install.packages('nullabor')

Monthly Downloads

1,441

Version

0.3.1

License

GPL

Maintainer

Dianne Cook

Last Published

December 17th, 2014

Functions in nullabor (0.3.1)

calc_mean_dist

Calculating the mean distances of each plot in the lineup.

null_dist

Generate null data with a specific distribution.

distplot

Plotting the distribution of the distance measure

resid_rotate

Rotation residuals.

add_true

Add true data into data frame containing null data sets.

null_permute

Generate null data by permuting a variable.

opt_bin_diff

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

null_lm

Generate null data with null residuals from a model.

resid_sigma

Residuals simulated by a normal model, with specified sigma

sep_dist

Distance based on separation of clusters

resid_boot

Bootstrap residuals.

resid_pboot

Parametric bootstrap residuals.

distmet

Empirical distribution of the distance

bin_dist

Binned Distance

lineup

The line-up protocol.

calc_diff

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

lal

Los Angeles Lakers play-by-play data.

decrypt

Use decrypt to reveal the position of the real data.

box_dist

Distance based on side by side Boxplots for two levels

rorschach

The Rorschach protocol.

find_plot_data

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.

null_gen

Computing th distance for the null plots

uni_dist

Distance for univariate data

reg_dist

Distance based on the regression parameters