plot2dCors: Plot correlations between 2d indirect and 1d direct gradients

In stevencarlislewalker/ecoBayesIRT: Helper functions for ecological Bayesian item response theory in R using MCMCpack

Description

Plot correlations between 2d indirect and 1d direct gradients

Usage

plot2dCors(xIndirect, xDirect, .seed = 1, plotArgs = list(las = 1, xlim =
  c(-1, 1), ylim = c(-1, 1), xlab = "", ylab = ""), nullPtArgs = list(pch =
  16, cex = 0.2, col = rgb(1, 0, 0, 0.2)), xPtArgs = list(pch = 16, cex = 0.2,
  col = rgb(0, 0, 1, 0.02)), nullContArgs = list(lwd = 3, col = "red", cont =
  95), xContArgs = list(lwd = 3, col = "blue", cont = 95))

Arguments

xIndirect	posterior distribution of indirect gradient values (MCMC iterations-by-sites-by-2 axes array)
xDirect	direct gradient (vector with same length as second dimension of xIndirect)
.seed	random seed for generation of the null correlations
plotArgs	list of arguments for setting up the plotting region
nullPtArgs	list of arguments for plotting correlations from a null distribution
xPtArgs	list of arguments for plotting correlations with direct gradient
nullContArgs	list of arguments for plotting null distribution contour
xContArgs	list of arguments for plotting contour

stevencarlislewalker/ecoBayesIRT documentation built on May 30, 2019, 4:42 p.m.