[Vegan-commits] r2621 - in pkg/vegan: R inst
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Fri Sep 20 13:45:41 CEST 2013
Author: jarioksa
Date: 2013-09-20 13:45:41 +0200 (Fri, 20 Sep 2013)
New Revision: 2621
Modified:
pkg/vegan/R/ordilabel.R
pkg/vegan/inst/ChangeLog
Log:
ordilabel() can use vectors of colour arguments col, fill, border
Modified: pkg/vegan/R/ordilabel.R
===================================================================
--- pkg/vegan/R/ordilabel.R 2013-09-18 18:01:03 UTC (rev 2620)
+++ pkg/vegan/R/ordilabel.R 2013-09-20 11:45:41 UTC (rev 2621)
@@ -18,6 +18,8 @@
ord <- order(priority)
x <- x[ord, ]
labels <- labels[ord]
+ } else {
+ ord <- seq_along(labels)
}
em <- strwidth("m", cex = cex, ...)
ex <- strheight("x", cex = cex, ...)
@@ -28,12 +30,15 @@
col <- border
else
col <- par("fg")
+ col <- rep(col, length=nrow(x))[ord]
+ border <- rep(border, length=nrow(x))[ord]
+ fill <- rep(fill, length=nrow(x))[ord]
for (i in 1:nrow(x)) {
ordiArgAbsorber(x[i,1] + c(-1,1,1,-1)*w[i], x[i,2] + c(-1,-1,1,1)*h[i],
- col = fill, border = border, xpd = xpd,
+ col = fill[i], border = border[i], xpd = xpd,
FUN = polygon, ...)
ordiArgAbsorber(x[i,1], x[i,2], labels = labels[i], cex = cex,
- col = col, xpd = xpd, FUN = text, ...)
+ col = col[i], xpd = xpd, FUN = text, ...)
}
invisible(x)
}
Modified: pkg/vegan/inst/ChangeLog
===================================================================
--- pkg/vegan/inst/ChangeLog 2013-09-18 18:01:03 UTC (rev 2620)
+++ pkg/vegan/inst/ChangeLog 2013-09-20 11:45:41 UTC (rev 2621)
@@ -4,6 +4,13 @@
Version 2.1-35 (opened September 5, 2013)
+ * ordilabel: colour arguments ('col', 'fill', 'borderä) can now be
+ vectors and will be recycled if needed. May need care if used with
+ 'select', but should work with 'priority'. This was needed for a
+ function under development and testing: when labelling over lines,
+ it may be nice if the border has the same colour as the line
+ covered.
+
* MDSrotate: can now rotate a solution to more than one vector,
provided that the number of dimensions is higher than the number
of vectors. Because fitted vectors usually are correlated, only
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