Package: nullabor 0.3.16

nullabor: 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.

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

nullabor_0.3.16.tar.gz
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nullabor_0.3.16.tgz(r-4.6-any)nullabor_0.3.16.tgz(r-4.5-any)
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nullabor_0.3.16.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
nullabor/json (API)

# Install 'nullabor' in R:
install.packages('nullabor', repos = c('https://dicook.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dicook/nullabor/issues

Datasets:
  • aud - Conversion rate of 1 Australian Doller (AUD) to 1 US Dollar
  • electoral - Polls and election results from the 2012 US Election
  • lal - Los Angeles Lakers play-by-play data.
  • tips - Tipping data
  • turk_results - Sample turk results
  • wasps - Wasp gene expression data.

On CRAN:

Conda:

10.14 score 59 stars 2 packages 496 scripts 2.0k downloads 29 exports 44 dependencies

Last updated from:53716fe4e2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK213
source / vignettesOK408
linux-releaseOK218
macos-releaseOK131
macos-oldrelOK142
windows-develOK155
windows-releaseOK136
windows-oldrelOK133
wasm-releaseOK131

Exports:bin_distbox_distcalc_diffcalc_mean_distdecryptdistmetdistplotlineuplineup_histogramslineup_qqlineup_residualsnull_distnull_lmnull_permutenull_tsopt_bin_diffpvisualreg_distresid_bootresid_pbootresid_permresid_rotateresid_sigmarorschachsample_sizesep_disttheme_stripuni_distvisual_power

Dependencies:classcliclustercpp11DEoptimRdiptestdplyrfarverflexmixfpcgenericsggplot2gluegtableisobandkernlablabelinglatticelifecyclemagrittrMASSmclustmodeltoolsmomentsnnetpillarpkgconfigprabcluspurrrR6RColorBrewerrlangrobustbaseS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Example lineups
Example lineups in nullabor | Electoral Building

Last update: 2025-02-10
Started: 2016-05-03

Residual plots for linear models
Residual plots using the nullabor package | References

Last update: 2025-02-10
Started: 2024-11-28

Assessing distributional assumptions using the nullabor package
Using histograms | Specifying distribution parameters | Using Q-Q plots | Changing plot appearance | References

Last update: 2024-11-28
Started: 2024-11-28

An Introduction to the nullabor package
An introduction to the nullabor package | The lineup protocol | The Rorschach protocol | Generate null data with a specific distribution | Generate null data by permuting a variable | Generate null data with null residuals from a model | Generate null data outside of nullabor | Computing p-values | Computing power | References

Last update: 2024-07-21
Started: 2014-10-26

Distances between null and data plots
Examining distances between null and true data plots | Introduction | Distance metrics | Distance for univariate data | Distance based on regression parameters | Distance based on boxplots | Distance based on separation | Binned Distance | Calculating the mean distances for the plots in the lineup | Calculating difference measure for lineups | Optimum number of bins | Distribution of distance metrics | Plotting the empirical distribution of the distance metric | References

Last update: 2024-07-21
Started: 2016-05-03

Readme and manuals

Help Manual

Help pageTopics
Conversion rate of 1 Australian Doller (AUD) to 1 US Dollaraud
Binned Distancebin_dist
Distance based on side by side Boxplotsbox_dist
Calculating the difference between true plot and the null plot with the maximum distance.calc_diff
Calculating the mean distances of each plot in the lineup.calc_mean_dist
Use decrypt to reveal the position of the real data.decrypt
Empirical distribution of the distancedistmet
Plotting the distribution of the distance measuredistplot
Polls and election results from the 2012 US Electionelectoral
Los Angeles Lakers play-by-play data.lal
The line-up protocol.lineup
Check distributional assumptions using histograms and the lineup protocol.lineup_histograms
Check distributional assumptions using Q-Q plots and the lineup protocol.lineup_qq
Compare residual plots of a fitted model to plots of null residuals.lineup_residuals
Generate null data with a specific distribution.null_dist
Generate null data with null residuals from a model.null_lm
Generate null data by permuting a variable.null_permute
Generate null data by simulating from a time series model.null_ts
Finds the number of bins in x and y direction which gives the maximum binned distance.opt_bin_diff
P-value calculations.pvisual
Distance based on the regression parametersreg_dist
Bootstrap residuals.resid_boot
Parametric bootstrap residuals.resid_pboot
Permutation residuals.resid_perm
Rotation residuals.resid_rotate
Residuals simulated by a normal model, with specified sigmaresid_sigma
The Rorschach protocol.rorschach
Sample size calculatorsample_size
Distance based on separation of clusterssep_dist
A theme to minimally strip away the contexttheme_strip
Tipping datatips
Sample turk resultsturk_results
Distance for univariate datauni_dist
Power calculations.visual_power
Wasp gene expression data.wasps