Nothing
inkspot <- function(data, gradient=1:nrow(data), use.rank=FALSE, reorder.species = TRUE, x.axis=c("sites", "gradient", "none"), x.axis.top=FALSE, site.names=NULL, spec.names=NULL, pch=21, cex.max=3, col="black", bg="darkgrey", x.grid=FALSE, y.grid=FALSE, grid.col="grey", grid.lty="dotted",
legend.values=c(2, 5, 10, 20, 50), ...) {
x.axis = match.arg(x.axis)
ord <- order(gradient)
grad.srt <- sort(gradient)
if (reorder.species) {
# wa.sc <- apply(data[ord, ], 2, function(x, env) { sum(x*env, na.rm=TRUE) / sum(x, na.rm=TRUE) }, env=1:nrow(data))
wa.sc <- apply(data, 2, function(x, env) { sum(x*env, na.rm=TRUE) / sum(x, na.rm=TRUE) }, env=gradient)
spec.ord <- order(wa.sc)
}
else {
spec.ord <- 1:ncol(data)
}
if (use.rank)
grad.srt <- 1:nrow(data)
nR <- nrow(data)
nC <- ncol(data)
ss <- list(sites=ord, spec=spec.ord)
ddd <- as.vector(as.matrix(sqrt(data[ss$sites, ss$spec])))
ra <- max(ddd, na.rm=TRUE)
ddd <- ddd / ra * cex.max
r <- rep((1:nC), each=nR)
c <- rep(grad.srt, times=nC)
if (!is.null(site.names))
sn <- site.names[ss$sites]
else
sn <- rownames(data)[ss$sites]
if (!is.null(spec.names))
spn <- spec.names[ss$spec]
else
spn <- colnames(data)[ss$spec]
plot(c, r, cex=ddd, pch=pch, yaxt="n", xaxt="n", ylab="", xlab="", ...)
if (x.grid)
abline(v=1:nR, col=grid.col, lty=grid.lty)
if (y.grid)
abline(h=1:nC, col=grid.col, lty=grid.lty)
points(c, r, cex=ddd, pch=pch, col=col, bg=bg, ...)
# axis(side=1, at=1:nR, labels=sn, las=2, ...)
if (x.axis=="sites")
axis(side=1, at=grad.srt, labels=sn, las=2, ...)
else {
if (x.axis=="gradient")
axis(side=1, col="black", ...)
else
axis(side=1, at=grad.srt, labels=rep("", length(sn), ...))
}
axis(side=2, at=1:nC, labels=spn, las=1, ...)
if (x.axis.top) {
if (use.rank) {
x <- pretty(gradient)
breaks <- apply(data.frame(x), 1, function(x, y) { z <- which(y < x); if(length(z)==0) z=0; max(z, na.rm=TRUE); }, y=sort(gradient))
breaks[breaks==0] <- NA
axis(side=3, at = breaks, labels=x, ...)
}
else {
axis(side=3, ...)
}
}
if (!is.null(legend.values))
legend("topleft", as.character(legend.values), pch=pch, bg="white", cex=.8, pt.cex=sqrt(legend.values) / ra * cex.max, col=col, pt.bg=bg)
invisible(ss)
}
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