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RInSp (version 1.2.5)

R Individual Specialization

Description

Functions to calculate several ecological indices of individual and population niche width (Araujo's E, clustering and pairwise similarity among individuals, IS, Petraitis' W, and Roughgarden's WIC/TNW) to assess individual specialization based on data of resource use. Resource use can be quantified by counts of categories, measures of mass or length, or proportions. Monte Carlo resampling procedures are available for hypothesis testing against multinomial null models. Details are provided in Zaccarelli et al. (2013) and associated references.

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Version

Install

install.packages('RInSp')

Monthly Downloads

306

Version

1.2.5

License

GPL (>= 2)

Maintainer

Dr. Zaccarelli

Last Published

May 20th, 2022

Functions in RInSp (1.2.5)

MCp.RInSp

Monte Carlo resampling procedure
RInSp-package

R Individual Specialization
Hier2L

Variance partition and WIC/TNW
RInSp2vegan

Vegan support procedure
PSicalc

Calculate the proportional similarity index
Eindex

Calculate index E and Cws
Emc

Monte Carlo resampling procedure for index E and Cws
Null.Hp.RInSp

Generate a data set based on a specific null hypothesis
Trout

Example of continuous data from fish prey lengths of brown trout
Likelihood and Wi

Likelihood measure of niche breadth
WTdMC

Monte Carlo resampling of WIC/TNW for the discrete case
Stickleback

Example of data from threespine Stickleback gut contents
WTcMC

Monte Carlo resampling of WIC/TNW for the continuous case
pop.diet

Calculate population diet
sumMC.RInSp

Summary function for Monte Carlo resampling results
import.RInSp

Import data into a RInSp object
overlap

Mean pairwise overlap
NODF

Nestedness metric based on overlap and decreasing fill