[Vegan-commits] r215 - branches/1.11-0/man

[noreply at r-forge.r-project.org]

Author: jarioksa
Date: 2008-02-16 14:44:54 +0100 (Sat, 16 Feb 2008)
New Revision: 215

Modified:
   branches/1.11-0/man/adonis.Rd
   branches/1.11-0/man/mrpp.Rd
Log:
Doc tweaks (by Hank Stevens)

Modified: branches/1.11-0/man/adonis.Rd
===================================================================
--- branches/1.11-0/man/adonis.Rd	2008-02-16 12:28:46 UTC (rev 214)
+++ branches/1.11-0/man/adonis.Rd	2008-02-16 13:44:54 UTC (rev 215)
@@ -7,7 +7,8 @@
 
 \description{Analysis of variance using distance matrices --- for
   partitioning distance matrices among sources of variation and fitting
-  linear models to distance matrices.}
+  linear models (e.g., factors, polynomial regression) to distance 
+  matrices.}
 
 \usage{
 adonis(formula, data, permutations = 5, method = "bray",
@@ -15,7 +16,7 @@
        contr.ordered = "contr.poly", ...)
 }
 
-\arguments{
+\arguments{  
   \item{formula}{a typical model formula such as \code{Y ~ A + B*C}, but
     where \code{Y} is either a dissimilarity object (inheriting from
     class \code{"dist"}) or data frame or a matrix; \code{A}, \code{B}, and
@@ -43,7 +44,7 @@
 linear predictors, and a response matrix of an arbitrary number of
 columns (2 to millions), it is a robust alternative to both parametric
 MANOVA and to ordination methods for describing how variation is
-atributed to different experimental treatments or uncontrolled
+attributed to different experimental treatments or uncontrolled
 covariates. It is also analogous to redundancy analysis (Legendre and
 Anderson 1999).
 

Modified: branches/1.11-0/man/mrpp.Rd
===================================================================
--- branches/1.11-0/man/mrpp.Rd	2008-02-16 12:28:46 UTC (rev 214)
+++ branches/1.11-0/man/mrpp.Rd	2008-02-16 13:44:54 UTC (rev 215)
@@ -77,9 +77,9 @@
   \item{E.delta}{expected delta, under the null hypothesis of no group
     structure. This is the mean of the permuted deltas.}
   \item{Pvalue}{Significance of the test.}
-  \item{A}{A chance-corrected estimated of the distances explained by
-    group identity; a value analogous to a coefficient of determination
-    in a linear model.}
+  \item{A}{A chance-corrected estimate of the proportion of the distances
+    explained by group identity; a value analogous to a coefficient of 
+    determination in a linear model.} 
   \item{distance}{Choice of distance metric used; the "method" entry of
     the dist object.}
   \item{weight.type}{The choice of group weights used.}