[Vegan-commits] r2302 - in branches/2.0: inst man

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Thu Sep 27 18:41:13 CEST 2012


Author: jarioksa
Date: 2012-09-27 18:41:12 +0200 (Thu, 27 Sep 2012)
New Revision: 2302

Modified:
   branches/2.0/inst/ChangeLog
   branches/2.0/man/add1.cca.Rd
   branches/2.0/man/adonis.Rd
   branches/2.0/man/anova.cca.Rd
   branches/2.0/man/bgdispersal.Rd
   branches/2.0/man/capscale.Rd
   branches/2.0/man/cascadeKM.Rd
   branches/2.0/man/cca.Rd
   branches/2.0/man/cca.object.Rd
   branches/2.0/man/designdist.Rd
   branches/2.0/man/mantel.Rd
   branches/2.0/man/mantel.correlog.Rd
   branches/2.0/man/screeplot.cca.Rd
   branches/2.0/man/varpart.Rd
   branches/2.0/man/vegdist.Rd
Log:
doc upgrades and fixes (broken \links)

Modified: branches/2.0/inst/ChangeLog
===================================================================
--- branches/2.0/inst/ChangeLog	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/inst/ChangeLog	2012-09-27 16:41:12 UTC (rev 2302)
@@ -3,7 +3,9 @@
 VEGAN RELEASE VERSIONS at http://cran.r-project.org/
 
 Version 2.0-5 (opened June 18, 2012)
-	
+
+	* merge r2299: fix broken \link{}s in docs. 
+	* merge r2297: upgrade docs for L&L 2012 (3r ed.)
 	* merge r2291 thru 2296, 2298, 2300: radfit upgrade.
 	* merge r2287,8: scoping in anova.ccabyaxis and anova.ccabyterm.
 	* merge r2285: add predict.radfit.

Modified: branches/2.0/man/add1.cca.Rd
===================================================================
--- branches/2.0/man/add1.cca.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/add1.cca.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -62,7 +62,7 @@
 
 \seealso{ \code{\link{add1}}, \code{\link{drop1}} and
   \code{\link{anova.cca}} for basic methods. You probably need these
-  functions with \code{\link{step}} and \code{link{ordistep}}. Functions
+  functions with \code{\link{step}} and \code{\link{ordistep}}. Functions
   \code{\link{deviance.cca}} and \code{\link{extractAIC.cca}} are used
   to produce the other arguments than test results in the
   output. Functions \code{\link{cca}}, \code{\link{rda}} and

Modified: branches/2.0/man/adonis.Rd
===================================================================
--- branches/2.0/man/adonis.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/adonis.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -145,7 +145,7 @@
   by different within-group variation (dispersion) instead of different
   mean values of the groups (see Warton et al. 2012 for a general
   analysis). However, it seems that \code{adonis} is less sensitive to
-  dispersion effects than some of its alternatives (\code{link{anosim}},
+  dispersion effects than some of its alternatives (\code{\link{anosim}},
   \code{\link{mrpp}}). Function \code{\link{betadisper}} is a sister
   function to \code{adonis} to study the differences in dispersion
   within the same geometric framework.

Modified: branches/2.0/man/anova.cca.Rd
===================================================================
--- branches/2.0/man/anova.cca.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/anova.cca.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -155,7 +155,7 @@
   only when \code{model = "direct"}.  
 }
 \references{
-  Legendre, P. and Legendre, L. (1998). \emph{Numerical Ecology}. 2nd
+  Legendre, P. and Legendre, L. (2012). \emph{Numerical Ecology}. 3rd
   English ed. Elsevier.
 
   Legendre, P., Oksanen, J. and ter Braak, C.J.F. (2011). Testing the

Modified: branches/2.0/man/bgdispersal.Rd
===================================================================
--- branches/2.0/man/bgdispersal.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/bgdispersal.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -6,7 +6,7 @@
 
 \description{ This function computes coefficients of dispersal direction
 between geographically connected areas, as defined by Legendre and
-Legendre (1984), and also described in Legendre and Legendre (1998,
+Legendre (1984), and also described in Legendre and Legendre (2012,
 section 13.3.4). }
 
 \usage{
@@ -72,7 +72,7 @@
   freshwater fishes in the Québec
   peninsula. \emph{Can. J. Fish. Aquat. Sci.} \strong{41}: 1781-1802.
   
-  Legendre, P. and L. Legendre. 1998. \emph{Numerical ecology}, 2nd
+  Legendre, P. and L. Legendre. 2012. \emph{Numerical ecology}, 3rd
   English edition. Elsevier Science BV, Amsterdam.
   
   Sokal, R. R. and F. J. Rohlf. 1995. \emph{Biometry. The principles and

Modified: branches/2.0/man/capscale.Rd
===================================================================
--- branches/2.0/man/capscale.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/capscale.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -56,7 +56,7 @@
      that all eigenvalues are non-negative in the underlying
      Principal Co-ordinates Analysis (see \code{\link{cmdscale}} 
      for details). This implements \dQuote{correction method 2} of
-     Legendre & Legendre (1998, p. 434). The negative eigenvalues are
+     Legendre & Legendre (2012, p. 503). The negative eigenvalues are
      caused by using semi-metric or non-metric dissimilarities with
      basically metric \code{\link{cmdscale}}. They are harmless and
      ignored in \code{capscale}, but you also can avoid warnings with
@@ -164,7 +164,7 @@
   analysis: testing multispecies responses in multifactorial ecological
   experiments. \emph{Ecological Monographs} 69, 1--24.
 
-  Legendre, P. & Legendre, L. (1998).  \emph{Numerical Ecology}. 2nd English
+  Legendre, P. & Legendre, L. (2012).  \emph{Numerical Ecology}. 3rd English
   Edition. Elsevier
 }
 \author{ Jari Oksanen }

Modified: branches/2.0/man/cascadeKM.Rd
===================================================================
--- branches/2.0/man/cascadeKM.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/cascadeKM.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -117,7 +117,7 @@
   distance matrix. (3) The first principal coordinate is used as the new
   order of the objects in the graph. A simplified algorithm is used to
   compute the first principal coordinate only, using the iterative
-  algorithm described in Legendre & Legendre (1998, Table 9.10). The
+  algorithm described in Legendre & Legendre (2012). The
   full distance matrix among objects is never computed; this avoids
   the problem of storing it when the number of objects is
   large. Distance values are computed as they are needed by the
@@ -157,7 +157,7 @@
   methods used in multivariate analysis. \emph{Biometrika} \strong{53}:
   325-338.
   
-  Legendre, P. & L. Legendre. 1998. \emph{Numerical ecology}, 2nd
+  Legendre, P. & L. Legendre. 2012. \emph{Numerical ecology}, 3rd
   English edition. Elsevier Science BV, Amsterdam.
   
   Milligan, G. W. & M. C. Cooper. 1985. An examination of procedures for

Modified: branches/2.0/man/cca.Rd
===================================================================
--- branches/2.0/man/cca.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/cca.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -60,7 +60,7 @@
   Functions \code{cca} and \code{rda} are  similar to popular
   proprietary software \code{Canoco}, although the implementation is
   completely different.  The functions are based on Legendre &
-  Legendre's (1998) algorithm: in \code{cca}
+  Legendre's (2012) algorithm: in \code{cca}
   Chi-square transformed data matrix is subjected to weighted linear
   regression on constraining variables, and the fitted values are
   submitted to correspondence analysis performed via singular value
@@ -170,7 +170,7 @@
 \references{ The original method was by ter Braak, but the current
   implementations follows Legendre and Legendre.
 
-  Legendre, P. and Legendre, L. (1998) \emph{Numerical Ecology}. 2nd English
+  Legendre, P. and Legendre, L. (2012) \emph{Numerical Ecology}. 3rd English
   ed. Elsevier.
 
   McCune, B. (1997) Influence of noisy environmental data on canonical

Modified: branches/2.0/man/cca.object.Rd
===================================================================
--- branches/2.0/man/cca.object.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/cca.object.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -192,7 +192,7 @@
   \code{cca.object} as well). 
 }
 \references{
-  Legendre, P. and Legendre, L. (1998) \emph{Numerical Ecology}. 2nd English
+  Legendre, P. and Legendre, L. (2012) \emph{Numerical Ecology}. 3rd English
   ed. Elsevier.
 }
 \author{ Jari Oksanen }

Modified: branches/2.0/man/designdist.Rd
===================================================================
--- branches/2.0/man/designdist.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/designdist.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -65,7 +65,7 @@
   The function \code{designdist} can implement most dissimilarity
   indices in \code{\link{vegdist}} or elsewhere, and it can also be
   used to implement many other indices, amongst them, most of those
-  described in Legendre & Legendre (1998). It can also be used to
+  described in Legendre & Legendre (2012). It can also be used to
   implement all indices of beta diversity described in Koleff et
   al. (2003), but there also is a specific function
   \code{\link{betadiver}} for the purpose.
@@ -85,7 +85,7 @@
   diversity for presence--absence data. \emph{J. Animal Ecol.}
   \strong{72}, 367--382. 
   
-  Legendre, P. and Legendre, L. (1998) \emph{Numerical Ecology}. 2nd
+  Legendre, P. and Legendre, L. (2012) \emph{Numerical Ecology}. 3rd
   English ed. Elsevier
   }
 \author{ Jari Oksanen }

Modified: branches/2.0/man/mantel.Rd
===================================================================
--- branches/2.0/man/mantel.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/mantel.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -69,15 +69,15 @@
 \references{ The test is due to Mantel, of course, but the
   current implementation is based on Legendre and Legendre.
 
-  Legendre, P. and Legendre, L. (1998) \emph{Numerical Ecology}. 2nd English
+  Legendre, P. and Legendre, L. (2012) \emph{Numerical Ecology}. 3rd English
   Edition. Elsevier.
   
 }
 
 \note{
-  Legendre & Legendre (1998) say that partial Mantel correlations 
-  often are difficult to interpret. 
-  }
+  Legendre & Legendre (2012, Box 10.4) warn against using partial
+  Mantel correlations.
+}
 
 \author{Jari Oksanen }
 

Modified: branches/2.0/man/mantel.correlog.Rd
===================================================================
--- branches/2.0/man/mantel.correlog.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/mantel.correlog.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -7,8 +7,8 @@
 \description{
   Function \code{mantel.correlog} computes a multivariate
   Mantel correlogram. Proposed by Sokal (1986) and Oden and Sokal
-  (1986), the method is also described in Legendre and Legendre (1998,
-  pp. 736-738).
+  (1986), the method is also described in Legendre and Legendre (2012,
+  pp. 819--821).
 }
 
 \usage{
@@ -119,7 +119,7 @@
 
 \references{
 
-  Legendre, P. and L. Legendre. 1998. Numerical ecology, 2nd English
+  Legendre, P. and L. Legendre. 2012. Numerical ecology, 3rd English
   edition. Elsevier Science BV, Amsterdam.
 
   Mantel, N. 1967. The detection of disease clustering and a generalized

Modified: branches/2.0/man/screeplot.cca.Rd
===================================================================
--- branches/2.0/man/screeplot.cca.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/screeplot.cca.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -81,7 +81,7 @@
 
   Function \code{bstick} gives the brokenstick values which are ordered
   random proportions, defined as  \eqn{p_i = (tot/n) \sum_{x=i}^n 
-    (1/x)}{p[i] = tot/n sum(from x=i to n) 1/x} (Legendre & Legendre 1998), where
+    (1/x)}{p[i] = tot/n sum(from x=i to n) 1/x} (Legendre & Legendre 2012), where
   \eqn{tot} is the total  and \eqn{n} is the number of brokenstick
   components (cf. \code{\link{radfit}}).  Broken stick has
   been recommended as a stopping rule in principal component analysis
@@ -113,7 +113,7 @@
   analysis: a comparison of heuristical and statistical
   approaches. \emph{Ecology} 74, 2204--2214.
 
-  Legendre, P. and Legendre, L. (1998) \emph{Numerical Ecology}. 2nd English
+  Legendre, P. and Legendre, L. (2012) \emph{Numerical Ecology}. 3rd English
   ed. Elsevier.
   }
 \note{Function \code{screeplot} is generic from \code{R} version

Modified: branches/2.0/man/varpart.Rd
===================================================================
--- branches/2.0/man/varpart.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/varpart.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -168,7 +168,7 @@
 Borcard, D., P. Legendre & P. Drapeau. 1992. Partialling out the spatial
 component of ecological variation. Ecology 73: 1045--1055.
 
-Legendre, P. & L. Legendre. 1998. Numerical ecology, 2nd English edition.
+Legendre, P. & L. Legendre. 2012. Numerical ecology, 3rd English edition.
 Elsevier Science BV, Amsterdam.
 
 (b) Reference on transformations for species data

Modified: branches/2.0/man/vegdist.Rd
===================================================================
--- branches/2.0/man/vegdist.Rd	2012-09-27 16:37:20 UTC (rev 2301)
+++ branches/2.0/man/vegdist.Rd	2012-09-27 16:41:12 UTC (rev 2302)
@@ -170,26 +170,24 @@
   are divided by \eqn{\log(2)}{log(2)} so that the results will be in
   the conventional range \eqn{0 \dots 1}.
 
-  Raup--Crick dissimilarity (\code{method = "raup"}) is a
-  probabilistic index based on presence/absence data.  It is defined
-  as \eqn{1 - prob(j)}, or based on the probability of observing at
-  least \eqn{j} species in shared in compared communities.  Legendre &
-  Legendre (1998) suggest using simulations to assess the probability,
-  but the current function uses analytic result from hypergeometric
-  distribution (\code{\link{phyper}}) instead.  This probability (and
-  the index) is dependent on the number of species missing in both
+  Raup--Crick dissimilarity (\code{method = "raup"}) is a probabilistic
+  index based on presence/absence data.  It is defined as \eqn{1 -
+  prob(j)}, or based on the probability of observing at least \eqn{j}
+  species in shared in compared communities.  The current function uses
+  analytic result from hypergeometric distribution
+  (\code{\link{phyper}}) to find the probablities.  This probability
+  (and the index) is dependent on the number of species missing in both
   sites, and adding all-zero species to the data or removing missing
-  species from the data will influence the index.  The probability
-  (and the index) may be almost zero or almost one for a wide range of
+  species from the data will influence the index.  The probability (and
+  the index) may be almost zero or almost one for a wide range of
   parameter values.  The index is nonmetric: two communities with no
   shared species may have a dissimilarity slightly below one, and two
-  identical communities may have dissimilarity slightly above
-  zero. The index uses equal occurrence probabilities for all species,
-  but Raup and Crick originally suggested that sampling probabilities
-  should be proportional to species frequencies (Chase et al. 2011). A
-  simulation approach with unequal species sampling probabilities is
-  implemented in \code{\link{raupcrick}} function following Chase et
-  al. (2011).
+  identical communities may have dissimilarity slightly above zero. The
+  index uses equal occurrence probabilities for all species, but Raup
+  and Crick originally suggested that sampling probabilities should be
+  proportional to species frequencies (Chase et al. 2011). A simulation
+  approach with unequal species sampling probabilities is implemented in
+  \code{\link{raupcrick}} function following Chase et al. (2011).
   
   Chao index tries to take into account the number of unseen species
   pairs, similarly as in \code{method = "chao"} in
@@ -274,9 +272,6 @@
 
   Krebs, C. J. (1999). \emph{Ecological Methodology.} Addison Wesley Longman.
 
-  Legendre, P, & Legendre, L. (1998) \emph{Numerical Ecology}. 2nd English
-  Edition. Elsevier.
-  
   Mountford, M. D. (1962). An index of similarity and its application to
   classification problems. In: P.W.Murphy (ed.),
   \emph{Progress in Soil Zoology}, 43--50. Butterworths.



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