cati (version 0.8)

ses: Standardized effect size and confidence interval for a matrix of statistics

Description

Calcul 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. Warnings, 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.

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 calcul confidence interval. By default val.quant=c(0.025,0.975) for a bilateral test with alpha = 5%.

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.

See Also

plot.listofindex; plot_ses.var; ses.listofindex

Examples

data(finch.ind)
	
	res.finch<-Tstats(traits.finch, ind_plot=ind.plot.finch, 
	sp=sp.finch, nperm=9)
	
	ses(res.finch$T_IP.IC, res.finch$T_IP.IC_nm)
	
	ses(t(res.finch$T_IP.IC), res.finch$T_IP.IC_nm)