ses: Standardized effect size and confidence interval for a matrix...

In cati: Community Assembly by Traits: Individuals and Beyond

Standardized effect size and confidence interval for a matrix of statistics

Description

calculation standardized effect size and confidence interval for a matrix of statistics and the related null model expressed as a list or as an array. Internal function use by other functions of the package. You can transpose the observed matrix to represent either the SES by traits or by plots.

Usage

	ses(obs = NULL, nullmodel = NULL, val.quant = c(0.025, 0.975))

Arguments

obs	Observed matrix or vector of values.
nullmodel	Either a list or an array of three (two for a vector of observed values) dimensions corresponding to the null model permutations.
val.quant	Numeric vectors of length 2, giving the quantile to calculation confidence interval. By default val.quant = c(0.025,0.975) for a bilateral test with alpha = 5%.

Details

Warning: to detect automatically the correspondence between dimension of observed matrix and null model list or array, observed matrix needs to have different numbers of rows and columns. In the case of same row and column number, please verify manually the correspondance beatween the rows of the observed matrix and the null model array.

Value

A list of three components:

$ses	Observed value of standardized effect size.
$ses.inf	Lower limit of the confidence interval.
$ses.sup	Upper limit of the confidence interval.

Author(s)

Adrien Taudiere

See Also

plot.listofindex; plotSESvar; ses.listofindex

Examples

	data(finch.ind)
	
	res.finch <- Tstats(traits.finch, ind.plot = ind.plot.finch, 
	sp = sp.finch, nperm = 9)
	## Not run: 
		ses(res.finch$Tstats$T_IP.IC, res.finch$Tstats$T_IP.IC_nm)
	
## End(Not run)

cati documentation built on March 18, 2022, 5:43 p.m.