plotCorTstats: Plot the bivariate relationships between T-statistics

In cati: Community Assembly by Traits: Individuals and Beyond

Plot the bivariate relationships between T-statistics

Description

Plot the bivariate relationships between the three T-statistics namely T_IP.IC, T_IC.IR and T_PC.PR.

Usage

	plotCorTstats(tstats = NULL, val.quant = c(0.025, 0.975), 
	add.text =  FALSE, bysite =  FALSE, col.obj = NULL, plot.ask = TRUE, 
	multipanel = TRUE, ...)

Arguments

tstats	The list resulting from the function Tstats.
val.quant	Numeric vector of length 2, giving the quantile to calculate confidence interval. By default val.quant = c(0.025,0.975) for a bilateral test with alpha = 5%.
add.text	Logical value; Add text or not.
bysite	Logical value; plot per site or by traits.
col.obj	Vector of colors for object (either traits or sites).
plot.ask	Logical value; Ask for new plot or not.
multipanel	Logical value. If TRUE divides the device to shown several traits graphics in the same device.
...	Any additional arguments are passed to the plot function creating the core of the plot and can be used to adjust the look of resulting graph.

Value

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

Author(s)

Adrien Taudiere

See Also

Tstats; plot.Tstats; plotSESvar

Examples

	data(finch.ind)
	res.finch <- Tstats(traits.finch, ind.plot = ind.plot.finch, 
	sp = sp.finch, nperm = 9)
	
	## Not run: 
		plotCorTstats(res.finch, bysite = FALSE)
		plotCorTstats(res.finch, bysite = TRUE)
	
## End(Not run)

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