[Vegan-commits] r2276 - in branches/2.0: inst man
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noreply at r-forge.r-project.org
Mon Sep 10 10:39:28 CEST 2012
Author: jarioksa
Date: 2012-09-10 10:39:28 +0200 (Mon, 10 Sep 2012)
New Revision: 2276
Modified:
branches/2.0/inst/ChangeLog
branches/2.0/man/decostand.Rd
branches/2.0/man/varpart.Rd
Log:
mrege r2267,71: tweak documentation
Modified: branches/2.0/inst/ChangeLog
===================================================================
--- branches/2.0/inst/ChangeLog 2012-09-10 08:28:57 UTC (rev 2275)
+++ branches/2.0/inst/ChangeLog 2012-09-10 08:39:28 UTC (rev 2276)
@@ -4,6 +4,8 @@
Version 2.0-5 (opened June 18, 2012)
+ * merge r2271: tweak varpart.Rd. (plot coloured circles).
+ * merge r2267: tweak vegdist.Rd (ref to vegdist).
* merge r2260: streamline adonis (internal changes).
* merge r2258: protect betadisper against changes in R-devel API.
* merge r2254: stylistic in examples of Rd files.
Modified: branches/2.0/man/decostand.Rd
===================================================================
--- branches/2.0/man/decostand.Rd 2012-09-10 08:28:57 UTC (rev 2275)
+++ branches/2.0/man/decostand.Rd 2012-09-10 08:39:28 UTC (rev 2276)
@@ -61,9 +61,10 @@
to presences, and \code{logbase = Inf} gives the presence/absence
scaling. Please note this is \emph{not} \eqn{\log(x+1)}{log(x+1)}.
Anderson et al. (2006) suggested this for their (strongly) modified
- Gower distance, but the standardization can be used independently
- of distance indices.
- }
+ Gower distance (implemented as \code{method = "altGower"} in
+ \code{\link{vegdist}}), but the standardization can be used
+ independently of distance indices.
+ }
Standardization, as contrasted to transformation, means that the
entries are transformed relative to other entries.
Modified: branches/2.0/man/varpart.Rd
===================================================================
--- branches/2.0/man/varpart.Rd 2012-09-10 08:28:57 UTC (rev 2275)
+++ branches/2.0/man/varpart.Rd 2012-09-10 08:39:28 UTC (rev 2276)
@@ -228,8 +228,12 @@
# Formula shortcut "~ ." means: use all variables in 'data'.
mod <- varpart(mite, ~ ., mite.pcnm, data=mite.env, transfo="hel")
mod
-showvarparts(2)
-plot(mod)
+
+## argument 'bg' is passed to circle drawing, and the following
+## defines semitransparent colours
+col2 <- rgb(c(1,1),c(1,0), c(0,1), 0.3)
+showvarparts(2, bg = col2)
+plot(mod, bg = col2)
# Alternative way of to conduct this partitioning
# Change the data frame with factors into numeric model matrix
mm <- model.matrix(~ SubsDens + WatrCont + Substrate + Shrub + Topo, mite.env)[,-1]
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