[adegenet-commits] r603 - pkg/man
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Fri Apr 16 13:53:49 CEST 2010
Author: jombart
Date: 2010-04-16 13:53:48 +0200 (Fri, 16 Apr 2010)
New Revision: 603
Modified:
pkg/man/Hs.Rd
pkg/man/adegenet.package.Rd
pkg/man/find.clusters.Rd
pkg/man/repool.Rd
pkg/man/sequences.Rd
pkg/man/sim2pop.Rd
Log:
A few changes in the doc.
Modified: pkg/man/Hs.Rd
===================================================================
--- pkg/man/Hs.Rd 2010-04-16 10:48:02 UTC (rev 602)
+++ pkg/man/Hs.Rd 2010-04-16 11:53:48 UTC (rev 603)
@@ -2,10 +2,12 @@
\name{Hs}
\alias{Hs}
\title{Expected heterozygosity}
-\description{This function computes the expected heterozygosity per
- population from \linkS4class{genpop} objects. This is possible for
- codominant markers (\code{@type="codom"}). For haploid data, Hs still
- provides a measure of within-population genetic diversity.
+\description{
+ This function computes the expected heterozygosity (Hs) within
+ populations of a \linkS4class{genpop} object. This function is
+ available for codominant markers (\code{@type="codom"}) only. Hs is
+ commonly used for measuring within population genetic diversity (and
+ as such, it still has sense when computed from haploid data).
}
\usage{
Hs(x, truenames=TRUE)
Modified: pkg/man/adegenet.package.Rd
===================================================================
--- pkg/man/adegenet.package.Rd 2010-04-16 10:48:02 UTC (rev 602)
+++ pkg/man/adegenet.package.Rd 2010-04-16 11:53:48 UTC (rev 603)
@@ -21,7 +21,7 @@
package offers methods for manipulating and analyzing information
coming from genetic markers (see below). \cr
-
+
=== IMPORTING DATA ===\cr
\code{adegenet} imports data to \linkS4class{genind} object from the
following softwares:\cr
@@ -29,23 +29,23 @@
- GENETIX: see \code{\link{read.genetix}}\cr
- FSTAT: see \code{\link{read.fstat}}\cr
- Genepop: see \code{\link{read.genepop}}\cr
-
To import data from any of these formats, you can also use the general
function \code{\link{import2genind}}.\cr
+
+ - DNA files: use \code{\link[pkg]{read.dna}} from the ape package,
+ and then extract SNPs from DNA alignments using
+ \code{\link{DNAbin2genind}}. \cr
+
It is also possible to read genotypes coded by character strings from
a data.frame in which genotypes are in rows, markers in columns. For
this, use \code{\link{df2genind}}. Note that \code{\link{df2genind}}
can be used for any level of ploidy.\cr
- It is possible to extract SNPs from DNA alignments stored in the ape
- package using \code{\link{DNAbin2genind}}.
-
-
=== EXPORTING DATA ===\cr
\code{adegenet} exports data from \linkS4class{genind} object to
formats recognized by other R packages:\cr
- - the genetics package: see \code{\link{genind2genotype}}\cr
+ - the genetics package: see \code{\link{genind2genotype}}\cr
- the hierfstat package: see \code{\link{genind2hierfstat}}\cr
Genotypes can also be recoded from a \linkS4class{genind} object into
@@ -53,7 +53,7 @@
alleles. This covers formats from many softwares like GENETIX or
STRUCTURE. For this, see \code{\link{genind2df}}.\cr
-
+
=== MANIPULATING DATA ===\cr
Several functions allow one to manipulate \linkS4class{genind} or
\linkS4class{genpop} objects\cr
@@ -71,7 +71,7 @@
- \code{\link{makefreq}}: returns a table of allelic frequencies from
a \linkS4class{genpop} object.\cr
- \code{\link{repool}} merges genoptypes from different
- genetic pools into one single \linkS4class{genind} object.\cr
+ gene pools into one single \linkS4class{genind} object.\cr
- \code{\link{propTyped}} returns the proportion of available (typed)
data, by individual, population, and/or locus.\cr
- \code{\link{selPopSize}} subsets data, retaining only genotypes
Modified: pkg/man/find.clusters.Rd
===================================================================
--- pkg/man/find.clusters.Rd 2010-04-16 10:48:02 UTC (rev 602)
+++ pkg/man/find.clusters.Rd 2010-04-16 11:53:48 UTC (rev 603)
@@ -106,7 +106,7 @@
\code{data.frame} method.}
}
\details{
- === ON THE SELECTION OF K ===
+ === ON THE SELECTION OF K ===\cr
(where K is the 'optimal' number of clusters)
So far, the analysis of data simulated under various population genetics
@@ -145,7 +145,7 @@
The class \code{find.clusters} is a list with the following
components:\cr
\item{Kstat}{a \code{numeric} vector giving the values of the summary
- statistics for the different values of K. Is NULLif \code{n.clust} was specified.}
+ statistics for the different values of K. Is NULL if \code{n.clust} was specified.}
\item{stat}{a \code{numeric} value giving the value of the summary statistics
for the retained model}
\item{grp}{a \code{factor} giving group membership for each individual.}
Modified: pkg/man/repool.Rd
===================================================================
--- pkg/man/repool.Rd 2010-04-16 10:48:02 UTC (rev 602)
+++ pkg/man/repool.Rd 2010-04-16 11:53:48 UTC (rev 603)
@@ -1,6 +1,6 @@
\name{repool}
\alias{repool}
-\title{Pool several genotypes into the same dataset}
+\title{Pool several genotypes into a single dataset}
\description{
The function \code{repool} allows to merge genotypes from different
\linkS4class{genind} objects into a single 'pool' (i.e. a new \linkS4class{genind}).
Modified: pkg/man/sequences.Rd
===================================================================
--- pkg/man/sequences.Rd 2010-04-16 10:48:02 UTC (rev 602)
+++ pkg/man/sequences.Rd 2010-04-16 11:53:48 UTC (rev 603)
@@ -12,7 +12,8 @@
- alignement (seqinr package): to come...
}
\usage{
-DNAbin2genind(x, pop=NULL, exp.char=c("a","t","g","c"), na.char=NULL, polyThres=1/100)
+DNAbin2genind(x, pop=NULL, exp.char=c("a","t","g","c"), na.char=NULL,
+ polyThres=1/100)
}
\arguments{
\item{x}{an object containing aligned sequences.}
Modified: pkg/man/sim2pop.Rd
===================================================================
--- pkg/man/sim2pop.Rd 2010-04-16 10:48:02 UTC (rev 602)
+++ pkg/man/sim2pop.Rd 2010-04-16 11:53:48 UTC (rev 603)
@@ -16,14 +16,14 @@
supplementary component.
}
\source{
- Easypop version 2.0.1 was run with the following parameters:
- - two diploid populations, one sex, random mating
- - 1000 individuals per population
- - proportion of migration: 0.002
- - 20 loci
- - mutation rate: 0.0001 (KAM model)
- - maximum of 50 allelic states
- - 1000 generations (last one taken)
+ Easypop version 2.0.1 was run with the following parameters:\cr
+ - two diploid populations, one sex, random mating\cr
+ - 1000 individuals per population\cr
+ - proportion of migration: 0.002\cr
+ - 20 loci\cr
+ - mutation rate: 0.0001 (KAM model)\cr
+ - maximum of 50 allelic states\cr
+ - 1000 generations (last one taken)\cr
}
\author{
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