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ropensci
geojsonio:Convert Data from and to 'GeoJSON' or 'TopoJSON'
Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Maintained by Michael Mahoney. Last updated 1 years ago.
geojsontopojsongeospatialconversiondatainput-outputio
151 stars 10.83 score 2.9k scripts 13 dependentstguillerme
dispRity:Measuring Disparity
A modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics. The package also provides functions for looking at disparity in a serial way (e.g. disparity through time) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.
Maintained by Thomas Guillerme. Last updated 12 days ago.
disparityecologymultidimensionalitypalaeobiology
26 stars 8.65 score 220 scripts 1 dependentspachadotdev
economiccomplexity:Computational Methods for Economic Complexity
A wrapper of different methods from Linear Algebra for the equations introduced in The Atlas of Economic Complexity and related literature. This package provides standard matrix and graph output that can be used seamlessly with other packages. See <doi:10.21105/joss.01866> for a summary of these methods and its evolution in literature.
Maintained by Mauricio Vargas Sepulveda. Last updated 3 months ago.
economic-complexityeigenvalueseigenvectorsgraphsinternational-tradematrixnetworksrecursive-algorithmopenblascppopenmp
39 stars 6.32 score 18 scriptsbioc
CytoMDS:Low Dimensions projection of cytometry samples
This package implements a low dimensional visualization of a set of cytometry samples, in order to visually assess the 'distances' between them. This, in turn, can greatly help the user to identify quality issues like batch effects or outlier samples, and/or check the presence of potential sample clusters that might align with the exeprimental design. The CytoMDS algorithm combines, on the one hand, the concept of Earth Mover's Distance (EMD), a.k.a. Wasserstein metric and, on the other hand, the Multi Dimensional Scaling (MDS) algorithm for the low dimensional projection. Also, the package provides some diagnostic tools for both checking the quality of the MDS projection, as well as tools to help with the interpretation of the axes of the projection.
Maintained by Philippe Hauchamps. Last updated 2 months ago.
flowcytometryqualitycontroldimensionreductionmultidimensionalscalingsoftwarevisualization
1 stars 5.23 score 2 scriptskhliland
HDANOVA:High-Dimensional Analysis of Variance
Functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0) "Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences". This implements and imports a collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting functions, multiple real data sets and four vignettes covering a range different applications.
Maintained by Kristian Hovde Liland. Last updated 17 days ago.
4.35 score 8 scripts 1 dependents