Package 'fuzzySim'

Package ‘fuzzySim’ August 1, 2016 Type Package Title Fuzzy similarity in species distributions Version 1.7.7 Date 2016-08-01 Author Barbosa A.M. Maintainer A. Marcia Barbosa Suggests maptools, parallel, PBSmapping, sp, tools Description Functions to calculate fuzzy versions of species' occurrence patterns based on presenceabsence data (including inverse distance interpolation, trend surface analysis and prevalenceindependent favourability GLM), and pair-wise fuzzy similarity (based on fuzzy versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model comparison (overlap and fuzzy similarity, loss or gain), and for data preparation, such as obtaining unique abbreviations of species names, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, assessing the false discovery rate, or analysing and dealing with multicollinearity among variables. Includes also sample datasets for providing practical examples. License GPL-3

R topics documented: fuzzySim-package . corSelect . . . . . distPres . . . . . . Fav . . . . . . . . FDR . . . . . . . . fuzSim . . . . . . . fuzzyOverlay . . . fuzzyRangeChange getPreds . . . . . . integerCols . . . .

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fuzzySim-package modelTrim . . . . modOverlap . . . . multConvert . . . . multGLM . . . . . multicol . . . . . . multTSA . . . . . pairwiseRangemaps percentTestData . . rangemapSim . . . rotif.env . . . . . . rotifers . . . . . . . simFromSetOps . . simMat . . . . . . spCodes . . . . . . splist2presabs . . . stepByStep . . . . timer . . . . . . . . transpose . . . . . triMatInd . . . . .

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Index

fuzzySim-package

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Fuzzy similarity in species distributions

Description Functions to calculate fuzzy versions of species’ occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis and prevalence-independent favourability GLM), and pair-wise fuzzy similarity (based on fuzzy versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for data preparation, such as obtaining unique abbreviations of species names, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, assessing the false discovery rate, or analysing and dealing with multicollinearity among variables. Includes also sample datasets for providing practical examples. A step-by-step illustrated tutorial is available from the package homepage (http://fuzzysim.r-forge.r-project.org). Details Package: Type: Version: Date: License:

fuzzySim Package 1.7.7 2016-08-01 GPL-3

fuzzySim-package

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Author(s) A. Marcia Barbosa Maintainer: A. Marcia Barbosa References Barbosa A.M. (2015) fuzzySim: applying fuzzy logic to binary similarity indices in ecology. Methods in Ecology and Evolution, 6: 853-858. See Also RMACOQUI Examples data(rotifers) head(rotifers) # add column with species name abbreviations: rotifers$spcode