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)
| x | Result of correlogram analysis, with output using angles as independent variables for fixed distances (instead of distances as independent variables) |
|---|---|
| var | 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) |
| xlabel | Label for X axis (default: NULL) |
| ylabel | Label for Y axis (default: NULL) |
| title | Title of the plot (default: NULL) |
| legend | Show legends in ggplot graphs? (default: TRUE) |
| background | Background color ("grey" or "white") |
| significant.S | With single variables and permutation test: show different colours for significant points? (default: TRUE) |
| xlim | X axis limits (as vector: c(min, max); default: NULL) |
| ylim | Y axis limits (as vector: c(min, max); default: NULL) |
| interactivePlot | Show an interactive plot via plotly? (default: TRUE) |
| alpha | significance level for P (or P-adjusted) values (Default alpha = 0.05) |