Nothing
plot.clamtest <- function(x, xlab, ylab, main,
pch=21:24, col.points=1:4, col.lines=2:4, lty=1:3,
position="bottomright", ...) {
summ <- summary(x)
glabel <- summ$labels
if (missing(main))
main <- "Species Classification"
if (missing(xlab))
xlab <- paste(glabel[2], "(abundance + 1)")
if (missing(ylab))
ylab <- paste(glabel[1], "(abundance + 1)")
Y <- x[,2]
X <- x[,3]
minval <- summ$minv
## plot the dots
rr <- range(X+1,Y+1)
plot(X+1, Y+1, log = "xy", xaxt = "n", yaxt = "n",
col=col.points[as.integer(x$Classes)],
pch=pch[as.integer(x$Classes)],
xlab=xlab, ylab=ylab, main=main,
xlim=rr, ylim=rr, ...)
axis(1, c(1,10,100,1000,10000))
axis(2, c(1,10,100,1000,10000))
## too rare threshold
Ymin <- minval[[1]][1,2]
Xmin <- minval[[2]][1,1]
lines(rep(Xmin, 2)+1, c(0, 1)+1, col=col.lines[1], lty=lty[1])
lines(c(0, 1)+1, rep(Ymin, 2)+1, col=col.lines[1], lty=lty[1])
tmp <- approx(c(Xmin, 1), c(1, Ymin))
lines(tmp$x+1, tmp$y+1, col=col.lines[1], lty=lty[1])
## Y vs. gen threshold
lines(minval[[1]]+1, col=col.lines[2], lty=lty[2])
## X vs. gen threshold
lines(minval[[2]]+1, col=col.lines[3], lty=lty[3])
if (!is.null(position))
legend(position, col=col.points, pch=pch,
legend=rownames(summ$summary))
invisible(x)
}
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