[Vegan-commits] r2679 - in pkg/vegan: R inst man
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Fri Nov 8 14:22:06 CET 2013
Author: jarioksa
Date: 2013-11-08 14:22:06 +0100 (Fri, 08 Nov 2013)
New Revision: 2679
Modified:
pkg/vegan/R/plot.renyiaccum.R
pkg/vegan/R/renyiaccum.R
pkg/vegan/inst/ChangeLog
pkg/vegan/man/renyi.Rd
Log:
renyiaccum gained a collector curve to be used with summary of permutations
Modified: pkg/vegan/R/plot.renyiaccum.R
===================================================================
--- pkg/vegan/R/plot.renyiaccum.R 2013-11-08 10:40:12 UTC (rev 2678)
+++ pkg/vegan/R/plot.renyiaccum.R 2013-11-08 13:22:06 UTC (rev 2679)
@@ -1,7 +1,9 @@
`plot.renyiaccum` <-
-function (x, what=c("mean", "Qnt 0.025", "Qnt 0.975"), type = "l", ...)
+function (x, what=c("Collector", "mean", "Qnt 0.025", "Qnt 0.975"),
+ type = "l", ...)
{
- if (any(what %in% colnames(x[,1,])))
+ what <- what[what %in% dimnames(x)[[3]]]
+ if (any(what %in% dimnames(x)[[3]]))
x <- x[,,what, drop = FALSE]
dm <- dim(x)
dnam <- dimnames(x)
Modified: pkg/vegan/R/renyiaccum.R
===================================================================
--- pkg/vegan/R/renyiaccum.R 2013-11-08 10:40:12 UTC (rev 2678)
+++ pkg/vegan/R/renyiaccum.R 2013-11-08 13:22:06 UTC (rev 2679)
@@ -1,6 +1,6 @@
`renyiaccum` <-
function(x, scales=c(0, 0.5, 1, 2, 4, Inf), permutations = 100,
- raw = FALSE, subset, ...)
+ raw = FALSE, collector = FALSE, subset, ...)
{
if (!missing(subset))
x <- subset(x, subset)
@@ -20,12 +20,16 @@
result[,,k] <- as.matrix(renyi((apply(x[sample(n),],2,cumsum)),
scales=scales, ...))
}
+ if (raw)
+ collector <- FALSE
+ if (collector)
+ ref <- as.matrix(renyi(apply(x, 2, cumsum), scales = scales, ...))
if (raw) {
if (m==1) {
result <- result[,1,]
}
}else{
- tmp <- array(dim=c(n,m,6))
+ tmp <- array(dim=c(n,m,6 + as.numeric(collector)))
for (i in 1:n) {
for (j in 1:m) {
tmp[i,j,1] <- mean(result[i,j,1:permutations])
@@ -34,12 +38,14 @@
tmp[i,j,4] <- max(result[i,j,1:permutations])
tmp[i,j,5] <- quantile(result[i,j,1:permutations],0.025)
tmp[i,j,6] <- quantile(result[i,j,1:permutations],0.975)
+ if (collector)
+ tmp[i,j,7] <- ref[i,j]
}
}
result <- tmp
dimnames(result) <- list(pooled.sites=c(1:n),
scale=scales,
- c("mean", "stdev", "min", "max", "Qnt 0.025", "Qnt 0.975"))
+ c("mean", "stdev", "min", "max", "Qnt 0.025", "Qnt 0.975", if (collector) "Collector"))
}
class(result) <- c("renyiaccum", class(result))
result
Modified: pkg/vegan/inst/ChangeLog
===================================================================
--- pkg/vegan/inst/ChangeLog 2013-11-08 10:40:12 UTC (rev 2678)
+++ pkg/vegan/inst/ChangeLog 2013-11-08 13:22:06 UTC (rev 2679)
@@ -23,7 +23,11 @@
how().
* renyiaccum: plot() works also when only one index ('scales') was
- used.
+ used. The function gained new argument 'collector = FALSE' to
+ accumulate sites in the order they are in the data set in addition
+ to the summary statistics of permutations. This can be used to
+ analyse the randomness of the particular order of sites (looks
+ like my student would need this).
Version 2.1-37 (closed November 5, 2013)
Modified: pkg/vegan/man/renyi.Rd
===================================================================
--- pkg/vegan/man/renyi.Rd 2013-11-08 10:40:12 UTC (rev 2678)
+++ pkg/vegan/man/renyi.Rd 2013-11-08 13:22:06 UTC (rev 2679)
@@ -18,8 +18,9 @@
hill = FALSE)
\method{plot}{renyi}(x, ...)
renyiaccum(x, scales = c(0, 0.5, 1, 2, 4, Inf), permutations = 100,
- raw = FALSE, subset, ...)
-\method{plot}{renyiaccum}(x, what = c("mean", "Qnt 0.025", "Qnt 0.975"), type = "l",
+ raw = FALSE, collector = FALSE, subset, ...)
+\method{plot}{renyiaccum}(x, what = c("Collector", "mean", "Qnt 0.025", "Qnt 0.975"),
+ type = "l",
...)
\method{persp}{renyiaccum}(x, theta = 220, col = heat.colors(100), zlim, ...)
rgl.renyiaccum(x, rgl.height = 0.2, ...)
@@ -34,6 +35,10 @@
\item{raw}{if \code{FALSE} then return summary statistics of
permutations, and if \code{TRUE} then returns the individual
permutations.}
+ \item{collector}{Accumulate the diversities in the order the sites are
+ in the data set, and the collector curve can be plotted against
+ summary of permutations. The argument is ignored if \code{raw = TRUE}.
+ }
\item{subset}{logical expression indicating sites (rows) to keep: missing
values are taken as \code{FALSE}.}
\item{what}{Items to be plotted.}
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