Plot method for correlograms and variograms.
For examples, see eco.correlog eco.cormantel eco.variogram
eco.plotCorrelog(
x,
var = NULL,
xlabel = NULL,
ylabel = NULL,
title = NULL,
legend = TRUE,
background = c("grey", "white"),
errorbar = FALSE,
intervals = TRUE,
significant.S = TRUE,
significant.M = FALSE,
xlim = NULL,
ylim = NULL,
nsim = 999,
interactivePlot = TRUE,
meanplot = TRUE,
randtest = c("permutation", "bootstrap", "none"),
alpha = 0.05,
quiet = FALSE
)Result of correlogram or variogram analysis
Individual variable to plot for multiple analyses with eco.correlog
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")
Show error-bars? (default: FALSE)
Show bootstrap CI in kinship analysis? (default: TRUE)
With single variables and permutation test: show different colours for significant points? (default: TRUE)
With multiple variables: show only significant correlograms? (default: FALSE)
X axis limits (as vector: c(min, max); default: NULL)
Y axis limits (as vector: c(min, max); default: NULL)
Number of simulations for permutation or bootstrap tests.
Show an interactive plot via plotly? (default: TRUE)
Show a line with the mean, when the plot is for multiple variables? (default: TRUE)
Randomization test (one of: "permutation", "bootstrap", "none")
significance level for P (or P-adjusted) values (Default alpha = 0.05)
print quietly? Default FALSE