ji Jaccard Index

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Description

The Jaccard similarity (overlap) index measures the size of the intersection of two populations relative to size of their union. It varies between zero (no overlap) and one (perfect overlap). The Jaccard Index is closely related the Sorensen (implemented in function li) and the Dice indices which are widely used in both the ecological and immunological literature (see, Rempala and Seweryn 2013).

Usage

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ji(x, CI = 0.95, resample = 100, graph = FALSE, csv_output = FALSE, 
PlugIn = FALSE, size = 1, saveBootstrap = FALSE)

Arguments

x

a matrix containing input populations

CI

Confidence Interval default = 0.95, range (0, 1)

resample

set number of repetitions, default = 100

graph

default = FALSE, plot the results of hierarchical clustering of pairwise analysis of Jaccard Index; graph = 'fileName' user-defined output file name

csv_output

save the result of the analysis as .CSV file, default = FALSE; csv_output = 'fileName' user-defined output file name

PlugIn

standard plug-in estimator, default = FALSE

size

resampled fraction of the population, default = 1 (actual size of populations). The value should not be smaller than 10% of population (size = 0.1)

saveBootstrap

Saves bootstrap result to a file. Use saveBootstrap = TRUE to save bootstrap results to a Bootstrap folder in current directory; saveBootstrap = 'FolderName' - saves bootstrap results to user-named folder

Author(s)

Maciej Pietrzak, Michal Seweryn, Grzegorz Rempala
Maintainer: Maciej Pietrzak pietrzak.20@osu.edu

References

Rempala G.A., Seweryn M. (2013) Methods for diversity and overlap analysis in T-cell receptor populations. J Math Biol 67:1339-68

Examples

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data(TCR.Data)
result <- ji(x, resample = 50)