plotSESvar: Plot SES values against a variable

In cati: Community Assembly by Traits: Individuals and Beyond

Plot SES values against a variable

Description

Plot standardized effect size values against a variable

Usage

	plotSESvar(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 calculation 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.

Author(s)

Adrien Taudiere

See Also

plot.listofindex; ses

Examples

	data(finch.ind)
	res.finch <- Tstats(traits.finch, ind.plot = ind.plot.finch, sp = sp.finch, 
	nperm = 9)
## Not run: 
	par(mfrow = c(2,2))
	species.richness <- table(ind.plot.finch)
	plotSESvar(as.listofindex(list(res.finch)), species.richness, 
	multipanel = FALSE)

	#Same plot with resume = TRUE.
	
	par(mfrow = c(2,2))
	plotSESvar(as.listofindex(list(res.finch)), species.richness, 
	resume = TRUE, multipanel = FALSE)
	par(mfrow = c(1,1))
	
## End(Not run)

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