Package: cassowaryr 2.0.21

Harriet Mason

cassowaryr: Compute Scagnostics on Pairs of Numeric Variables in a Data Set

Computes a range of scatterplot diagnostics (scagnostics) on pairs of numerical variables in a data set. A range of scagnostics, including graph and association-based scagnostics described by Leland Wilkinson and Graham Wills (2008) <doi:10.1198/106186008X320465> and association-based scagnostics described by Katrin Grimm (2016,ISBN:978-3-8439-3092-5) can be computed. Summary and plotting functions are provided.

Authors:Harriet Mason [aut, cre], Stuart Lee [aut], Ursula Laa [aut], Dianne Cook [aut], Tina Rashid Jafari [aut]

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manual.pdf |manual.html✨
card.svg |card.png
cassowaryr/json (API)
NEWS

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

Bug tracker:https://github.com/numbats/cassowaryr/issues

Datasets:

On CRAN:

Conda:

data-sciencedata-visualizationedahigh-dimensional-datamultivariate

8.64 score 4 stars 14 packages 32 scripts 4.1k downloads 29 exports 56 dependencies

Last updated from:4196230ed8. Checks:6 WARNING, 2 OK, 1 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING181
source / vignettesOK228
linux-release-x86_64WARNING189
macos-release-arm64ERROR135
macos-oldrel-arm64WARNING112
windows-develWARNING129
windows-releaseWARNING135
windows-oldrelWARNING117
wasm-releaseOK135

Exports:calc_scagscalc_scags_widediagnose_outliersdraw_alphahulldraw_convexhulldraw_mstsc_clumpysc_clumpy_rsc_clumpy2sc_convexsc_dcorsc_gridsc_monotonicsc_outlyingsc_skewedsc_skinnysc_sparsesc_sparse2sc_splinessc_striatedsc_striated2sc_stringysc_stringy05sc_stringy06sc_stringy2sc_stripedscreetop_pairtop_scag

Dependencies:abindalphahullbootclicpp11crayondeldirdplyrenergyfarvergenericsggplot2gluegslgtablehexbinhmsigraphinterpisobandlabelinglatticelifecyclemagrittrMatrixpillarpkgconfigpolyclipprettyunitsprogressR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppEigenrlangS7scalessgeostatspspatstat.dataspatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilssplancstensortibbletidyselectutf8vctrsviridisLitewithr

An introduction to the cassowaryr package

Rendered fromcassowaryr.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-04-28
Started: 2021-09-16

Readme and manuals

Help Manual

Help pageTopics
Data from Anscombe's famous example in tidy formatanscombe_tidy
Compute selected scagnostics on subsetscalc_scags
Compute scagnostics on all possible scatter plots for the given datacalc_scags_wide
datasaurus_dozen datadatasaurus_dozen datasaurus_dozen_wide
Diagnose outlier removal for one variable pairdiagnose_outliers
Drawing the graph objectsdraw_alphahull draw_convexhull draw_functions draw_mst
Simulated data with special featuresfeatures
A toy data set with a numbat shape hidden among noise variablesnumbat
Parkinsons data from UCI machine learning archivepk
Compute clumpy scagnostic measure using MSTsc_clumpy
Compute robust clumpy scagnostic measure using MSTsc_clumpy_r
Compute adjusted clumpy measure using MSTsc_clumpy2
Compute convex scagnostic measuresc_convex
Distance correlation index.sc_dcor
Compute the grid scanostic measure using MSTsc_grid sc_striated2
Measure of Spearman Correlationsc_monotonic
Compute outlying scagnostic measure using MSTsc_outlying
Compute skewed scagnostic measure using MSTsc_skewed
Compute skinny scagnostic measuresc_skinny
Compute sparse scagnostic measure using MSTsc_sparse
Compute adjusted sparse measure using the alpha hullsc_sparse2
Spline based index.sc_splines
Compute striated scagnostic measure using MSTsc_striated
Compute the stringy05 scagnostic measuresc_stringy05 sc_stringy2
Compute the stringy06 scagnostic measure using the MSTsc_stringy sc_stringy06
Measure of Discretenesssc_striped
Pre-processing to generate scagnostic measuresscree
Summary computations for scagnostic datatop_functions top_pair top_scag