points_sd

two numeric vectors, x in abscissa and y in coordinate.

x, y

two strings, equal to <code>"mean"</code> or <code>"median"</code>.
Indicate if the point should be plotted at <code>mean(x), mean(y)</code>,
<code>mean(x), median(y)</code>, <code>median(x), mean(y)</code>
or <code>median(x), median(y)</code>.

two integers, indicating the symbol and the colour to use.

fig, col

a string, indicating the colour background to use.

a numeric, indicating the size of symbol to plot.

a string, indicating the label to add near the point.

name

Take two vectors,
 compute their mean and standard deviation,
 then plot the mean point with error bars along x- and y-axis.

internal

Cluster together the components that make up an interactive
system on the basis of their functional redundancy
for one or more collective, systemic performances.
Plot the hierarchical tree of component clusters,
the modelled and predicted performances of component assemblages,
and other results associated with a functional clustering.
Test and prioritize the significance of the different components
that make up the interactive system,
of the different assemblages of components that make up the dataset,
and of the different performances observed on the component assemblages.
The method finds application in ecology, for instance,
where the system is an ecosystem, the components are organisms or species,
and the systemic performance is the production of biomass
or the respiration of the ecosystem.
The method is extensively described in
Jaillard B, Deleporte P, Loreau M, Violle C (2018)
"A combinatorial analysis using observational data identifies species
that govern ecosystem functioning"
<doi:10.1371/journal.pone.0201135>.

points_sd: Plot a point with x- and y-error bars

Description

Usage

Arguments

Value

Details