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✨
DESCRIPTION |NEWS
card.svg |card.png
cassowaryr/json (API)

# 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:

anscombe_tidy - Data from Anscombe's famous example in tidy format
datasaurus_dozen - Datasaurus_dozen data
datasaurus_dozen_wide - Datasaurus_dozen data
features - Simulated data with special features
numbat - A toy data set with a numbat shape hidden among noise variables
pk - Parkinsons data from UCI machine learning archive

On CRAN:

data-science data-visualization eda high-dimensional-data multivariate

8.50 score 4 stars 14 packages 38 scripts 2.5k downloads 29 exports 56 dependencies

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

Target	Result	Time
linux-devel-x86_64	WARNING	191
source / vignettes	OK	230
linux-release-x86_64	WARNING	173
macos-release-arm64	ERROR	131
macos-oldrel-arm64	WARNING	142
windows-devel	WARNING	149
windows-release	WARNING	130
windows-oldrel	WARNING	124
wasm-release	OK	156

Exports:calc_scags calc_scags_wide diagnose_outliers draw_alphahull draw_convexhull draw_mst sc_clumpy sc_clumpy_r sc_clumpy2 sc_convex sc_dcor sc_grid sc_monotonic sc_outlying sc_skewed sc_skinny sc_sparse sc_sparse2 sc_splines sc_striated sc_striated2 sc_stringy sc_stringy05 sc_stringy06 sc_stringy2 sc_striped scree top_pair top_scag

Dependencies:abind alphahull boot cli cpp11 crayon deldir dplyr energy farver generics ggplot2 glue gsl gtable hexbin hms igraph interp isoband labeling lattice lifecycle magrittr Matrix pillar pkgconfig polyclip prettyunits progress R.methodsS3 R.oo R.utils R6 RColorBrewer Rcpp RcppEigen rlang S7 scales sgeostat sp spatstat.data spatstat.geom spatstat.random spatstat.sparse spatstat.univar spatstat.utils splancs tensor tibble tidyselect utf8 vctrs viridisLite withr

An introduction to the cassowaryr package

Rendered fromcassowaryr.Rmdusingknitr::rmarkdown

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

Help page	Topics
Data from Anscombe's famous example in tidy format	anscombe_tidy
Compute selected scagnostics on subsets	calc_scags
Compute scagnostics on all possible scatter plots for the given data	calc_scags_wide
datasaurus_dozen data	datasaurus_dozen datasaurus_dozen_wide
Diagnose outlier removal for one variable pair	diagnose_outliers
Drawing the graph objects	draw_alphahull draw_convexhull draw_functions draw_mst
Simulated data with special features	features
A toy data set with a numbat shape hidden among noise variables	numbat
Parkinsons data from UCI machine learning archive	pk
Compute clumpy scagnostic measure using MST	sc_clumpy
Compute robust clumpy scagnostic measure using MST	sc_clumpy_r
Compute adjusted clumpy measure using MST	sc_clumpy2
Compute convex scagnostic measure	sc_convex
Distance correlation index.	sc_dcor
Compute the grid scanostic measure using MST	sc_grid sc_striated2
Measure of Spearman Correlation	sc_monotonic
Compute outlying scagnostic measure using MST	sc_outlying
Compute skewed scagnostic measure using MST	sc_skewed
Compute skinny scagnostic measure	sc_skinny
Compute sparse scagnostic measure using MST	sc_sparse
Compute adjusted sparse measure using the alpha hull	sc_sparse2
Spline based index.	sc_splines
Compute striated scagnostic measure using MST	sc_striated
Compute the stringy05 scagnostic measure	sc_stringy05 sc_stringy2
Compute the stringy06 scagnostic measure using the MST	sc_stringy sc_stringy06
Measure of Discreteness	sc_striped
Pre-processing to generate scagnostic measures	scree
Summary computations for scagnostic data	top_functions top_pair top_scag

Package: cassowaryr 2.0.21

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

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