Plot method for bearing correlograms
For examples, see eco.correlog
. It constructs an angular correlogram
for each distance class taken as fixed.
eco.plotCorrelogB(
x,
var = NULL,
xlabel = NULL,
ylabel = NULL,
title = NULL,
legend = TRUE,
background = c("grey", "white"),
significant.S = TRUE,
xlim = NULL,
ylim = NULL,
interactivePlot = TRUE,
alpha = 0.05
)
Result of correlogram analysis, with output using angles as independent variables for fixed distances (instead of distances as independent variables)
Individual variable to plot; var is a number between 1 and the number of distance classes indicating the corresponding class (for example, with 5 distance classes, the number 3 indicates the third) To plot multiple variables in a same plot, use only the argument x (see examples)
Label for X axis (default: NULL)
Label for Y axis (default: NULL)
Title of the plot (default: NULL)
Show legends in ggplot graphs? (default: TRUE)
Background color ("grey" or "white")
With single variables and permutation test: show different colours for significant points? (default: TRUE)
X axis limits (as vector: c(min, max); default: NULL)
Y axis limits (as vector: c(min, max); default: NULL)
Show an interactive plot via plotly? (default: TRUE)
significance level for P (or P-adjusted) values (Default alpha = 0.05)