View source: R/centipede.plot.r
| centipede_plot | R Documentation |
Plot of species WA optima and tolerance
centipede_plot(x, spp, minN2 = 1, mult = 1)
x |
A tolerance weighted weighted-average model from
|
spp |
data.frame of species data used to train the WA model |
minN2 |
numeric giving minimum N2 for inclusion in plot |
mult |
numeric multiplier for the tolerances |
Extracts and sorts WA optima and tolerances and
generates a ggplot.
Tends only to work well when there are a reasonable number of taxa,
otherwise it is difficult to read the names on the axis.
Rare taxa can be excluded with the minN2 argument.
The tol.cut argument in WA may need to be set to
prevent very small tolerances in rare taxa.
This function is very similar to the caterpillar
plot, but produces a ggplot
A ggplot object.
library(rioja)
data(SWAP)
mod <- WA(SWAP$spec, SWAP$pH, tolDW = TRUE)
coef(mod)
centipede_plot(mod, spp = SWAP$spec, minN2 = 20)
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