View source: R/allfunctions_cati.R
plotSpPop | R Documentation |
Plot populations values against species values. The objectif is to see the contribution of intra-specific vs inter-specific variation to trait gradient.
plotSpPop(traits = NULL, ind.plot = NULL, sp = NULL, col.ind = rgb(0.5, 0.5, 0.5, 0.5), col.pop = NULL, col.sp = NULL, col.site = NULL, resume = FALSE, p.val = 0.05, min.ind.signif = 10, multipanel = TRUE, col.nonsignif.lm = rgb(0, 0, 0, 0.5), col.signif.lm = rgb(1, 0.1, 0.1, 0.8), silent = FALSE)
traits |
Individual Matrix of traits with traits in columns. |
ind.plot |
Factor defining the name of the plot in which the individual is. |
sp |
Factor defining the species which the individual belong to. |
col.ind |
Color for individual values. |
col.pop |
Color for populational mean values. |
col.sp |
Color for species mean values. |
col.site |
Color for sites mean values. |
resume |
Logical, if TRUE plot a simple form of the plot. |
p.val |
Choosen p.value to print significant linear relationship using linear model. Argument past to the lm funtion internally. |
min.ind.signif |
Minimum individual to print significant linear relationship. |
multipanel |
Logical value. If TRUE divides the device to shown several traits graphics in the same device. |
col.nonsignif.lm |
Color for non significant linear relationship. |
col.signif.lm |
Color for significant linear relationship. |
silent |
Logical value, if resume = FALSE do not print warning argument. |
Example of utilisation: Cornwell, W.K., Ackerly, D.D., 2009. Community assembly and shifts in plant trait distributions across an environmental gradient in coastal California. Ecological Monographs 79, 109-126.
None; used for the side-effect of producing a plot.
Adrien Taudiere
plotDistri
data(finch.ind) ## Not run: plotSpPop(traits.finch, ind.plot.finch, sp.finch, silent = TRUE) #If we change the value of the threshold #(alpha = 10% instead of 5% #and the minimum individual to represent significativity #fixed to 3 instead of 10 by default) #we can see some significant relationships. plotSpPop(traits.finch, ind.plot.finch, sp.finch, p.val = 0.1, min.ind.signif = 3, silent = TRUE) #For a more simple figure, add the option resume = TRUE. #Again if we change the value of the threshold #(alpha = 10% instead of 5% #and the minimum individual to represent significativity # fixed to 3 instead of 10 by default) #we can see some significant relationships. plotSpPop(traits.finch, ind.plot.finch, sp.finch, silent = TRUE, resume = TRUE, col.pop = "grey") plotSpPop(traits.finch, ind.plot.finch, sp.finch, silent = TRUE, resume = TRUE, col.pop = "grey", col.sp = "black") plotSpPop(traits.finch, ind.plot.finch, sp.finch, silent = TRUE, resume = TRUE, col.pop = "grey", col.sp = "black", p.val = 0.1, min.ind.signif = 3) ## End(Not run)
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