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tourr - Tour Methods for Multivariate Data Visualisation

Implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.

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10.96 score 67 stars 12 dependents 544 scripts 3.8k downloads

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.

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8.48 score 59 stars 2 dependents 508 scripts 4.8k downloads

sugarbag - Create Tessellated Hexagon Maps

Create a hexagon tile map display from spatial polygons. Each polygon is represented by a hexagon tile, placed as close to it's original centroid as possible, with a focus on maintaining spatial relationship to a focal point. Developed to aid visualisation and analysis of spatial distributions across Australia, which can be challenging due to the concentration of the population on the coast and wide open interior.

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7.28 score 43 stars 56 scripts 227 downloads

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.

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4.64 score 4 stars 109 scripts 222 downloads

woylier - Alternative Tour Frame Interpolation Method

This method generates a tour path by interpolating between d-D frames in p-D using Givens rotations. The algorithm arises from the problem of zeroing elements of a matrix. This interpolation method is useful for showing specific d-D frames in the tour, as opposed to d-D planes, as done by the geodesic interpolation. It is useful for projection pursuit indexes which are not s invariant. See more details in Buj, Cook, Asimov and Hurley (2005) <doi:10.1016/S0169-7161(04)24014-7> and Batsaikhan, Cook and Laa (2023) <doi:10.48550/arXiv.2311.08181>.

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4.60 score 10 scripts 159 downloads

DescribeDisplay - An Interface to the 'DescribeDisplay' 'GGobi' Plugin

Produce publication quality graphics from output of 'GGobi' describe display plugin.

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3.43 score 27 scripts 206 downloads

classifly - Explore Classification Models in High Dimensions

Given $p$-dimensional training data containing $d$ groups (the design space), a classification algorithm (classifier) predicts which group new data belongs to. Generally the input to these algorithms is high dimensional, and the boundaries between groups will be high dimensional and perhaps non-linear. This package implements methods for understanding the division of space between the groups.

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1.66 score 46 scripts 684 downloads