Package: mulgar 1.0.6

mulgar: Functions for Pre-Processing Data for Multivariate Data Visualisation using Tours

This is a companion to the book Cook, D. and Laa, U. (2023) <https://dicook.github.io/mulgar_book/> "Interactively exploring high-dimensional data and models in R". by Cook and Laa. It contains useful functions for processing data in preparation for visualising with a tour. There are also several sample data sets.

Authors:Dianne Cook [aut, cre], Ursula Laa [aut]

mulgar_1.0.6.tar.gz
mulgar_1.0.6.zip(r-4.7)mulgar_1.0.6.zip(r-4.6)mulgar_1.0.6.zip(r-4.5)
mulgar_1.0.6.tgz(r-4.6-any)mulgar_1.0.6.tgz(r-4.5-any)
mulgar_1.0.6.tar.gz(r-4.7-any)mulgar_1.0.6.tar.gz(r-4.6-any)
mulgar_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mulgar/json (API)
NEWS

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

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

Pkgdown/docs site:https://dicook.github.io

Datasets:
  • aflw - AFLW player statistics
  • anomaly1 - Data sets with anomalies
  • anomaly2 - Data sets with anomalies
  • anomaly3 - Data sets with anomalies
  • anomaly4 - Data sets with anomalies
  • anomaly5 - Data sets with anomalies
  • assoc1 - Data sets with different types of association
  • assoc2 - Data sets with different types of association
  • assoc3 - Data sets with different types of association
  • box - 3D plane in 5D
  • bushfires - Australian bushfires 2019-2020
  • c1 - Cluster challenge data sets
  • c2 - Cluster challenge data sets
  • c3 - Cluster challenge data sets
  • c4 - Cluster challenge data sets
  • c5 - Cluster challenge data sets
  • c6 - Cluster challenge data sets
  • c7 - Cluster challenge data sets
  • clusters - Three clusters in 5D
  • clusters_nonlin - Four unusually shaped clusters in 4D
  • copclayton - Data sets generated using copulas
  • copfrank - Data sets generated using copulas
  • copjoe - Data sets generated using copulas
  • copnorm - Data sets generated using copulas
  • multicluster - Multiple clusters of different sizes, shapes and distance from each other
  • pisa - PISA scores
  • plane - 2D plane in 5D
  • plane_nonlin - Non-linear relationship in 5D
  • simple_clusters - Two clusters in 2D
  • sketches_test - Images of sketches for testing
  • sketches_train - Images of sketches for training

On CRAN:

Conda:

4.64 score 4 stars 109 scripts 222 downloads 16 exports 31 dependencies

Last updated from:1241af47a8. Checks:1 ERROR, 8 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR144
source / vignettesOK189
linux-release-x86_64OK141
macos-release-arm64OK190
macos-oldrel-arm64OK130
windows-develOK99
windows-releaseOK109
windows-oldrelOK92
wasm-releaseOK115

Exports:calc_mv_distcalc_normconvert_proj_tibblegen_vc_ellipsegen_xvar_ellipseggmcbicggscreeggsliceggslice_projectionhierflymc_ellipsenorm_vecpca_modelpooled_vcrmvnsom_model

Dependencies:bitopsclicpp11dplyrfarvergenericsgeozooggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
AFLW player statisticsaflw
Data sets with anomaliesanomalies anomaly1 anomaly2 anomaly3 anomaly4 anomaly5
Data sets with different types of associationassoc1 assoc2 assoc3 associations
3D plane in 5Dbox
Australian bushfires 2019-2020bushfires
Compute Mahalanobis distances between all pairs of observationscalc_mv_dist
Calculate the norm of a vectorcalc_norm
Cluster challenge data setsc1 c2 c3 c4 c5 c6 c7 clusterchallenges
Three clusters in 5Dclusters
Four unusually shaped clusters in 4Dclusters_nonlin
This function turns a projection sequence into a tibbleconvert_proj_tibble
Data sets generated using copulascopclayton copfrank copjoe copnorm copula
Generate points on the surface of an ellipsegen_vc_ellipse
Ellipse matching data center and variancegen_xvar_ellipse
Produces an mclust summary plot with ggplotggmcbic
This function produces a simple scree plotggscree
Generate an axis-parallel slice displayggslice
Generate slice displayggslice_projection
Generate a dendrogram to be added to datahierfly
Computes the ellipses of an mclust modelmc_ellipse
Multiple clusters of different sizes, shapes and distance from each othermulticluster
Normalise a vector to have length 1norm_vec
Create wire frame of PCA modelpca_model
PISA scorespisa
2D plane in 5Dplane
Non-linear relationship in 5Dplane_nonlin
Compute pooled variance-covariance matrixpooled_vc
Generate a sample from a multivariate normalrmvn
Two clusters in 2Dsimple_clusters
Images of sketches for testingsketches_test
Images of sketches for trainingsketches_train
Process the output from SOM to display the map and datasom_model