cati (version 0.8)

plot_ses.var: Plot SES values against a variable

Description

Plot standardized effect size values against a variable

Usage

plot_ses.var(index.list, variable = NULL, ylab = "variable", 
	color.traits = NULL, val.quant = c(0.025, 0.975), resume = FALSE, 
	multipanel = TRUE)

Arguments

index.list

A list of index and the associate null models in the forme: list( index_1=index_1_observed, index_1_nm=null.model.index_1 ,index_2=index_2_observed, index_2_nm=null.model.index_2, ...).

variable

The variable against standardized effect sizes are plotted.

ylab

Label for the variable.

color.traits

A vector of colors corresponding to traits.

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%.

resume

Logical value; resume=FALSE by default; Simplify the plot by plotting the mean and standard error for index value of multiple traits

multipanel

Logical value. If TRUE divides the device to shown several traits graphics in the same device.

Value

• None; used for the side-effect of producing a plot.

See Also

plot.listofindex; ses

Examples

data(finch.ind)
	res.finch<-Tstats(traits.finch, ind_plot=ind.plot.finch, sp=sp.finch, 
	nperm=9)

	par(mfrow=c(2,2))
	species.richness<-table(ind.plot.finch)
	plot_ses.var(as.listofindex(list(res.finch)), species.richness, 
	multipanel=FALSE)

	#Same plot with resume=TRUE.
	
	par(mfrow=c(2,2))
	plot_ses.var(as.listofindex(list(res.finch)), species.richness, 
	resume=TRUE, multipanel=FALSE)
	par(mfrow=c(1,1))