[Genabel-commits] r1182 - pkg/GenABEL/man

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Thu Apr 4 10:53:28 CEST 2013


Author: yurii
Date: 2013-04-04 10:53:28 +0200 (Thu, 04 Apr 2013)
New Revision: 1182

Modified:
   pkg/GenABEL/man/egscore.Rd
   pkg/GenABEL/man/export.plink.Rd
   pkg/GenABEL/man/ibs.Rd
   pkg/GenABEL/man/qtscore.Rd
Log:
accumulated changes in Rd

Modified: pkg/GenABEL/man/egscore.Rd
===================================================================
--- pkg/GenABEL/man/egscore.Rd	2013-04-04 08:48:56 UTC (rev 1181)
+++ pkg/GenABEL/man/egscore.Rd	2013-04-04 08:53:28 UTC (rev 1182)
@@ -1,84 +1,89 @@
 \name{egscore}
 \alias{egscore}
 \title{Fast score test for association, corrected with PC}
-\description{
-Fast score test for association between a trait and genetic polymorphism, 
-adjusted for possible stratification by principal components.
-}
 \usage{
-egscore(formula,data,snpsubset,idsubset,kinship.matrix,naxes=3,strata,times=1,quiet=FALSE,bcast=10,clambda=TRUE,propPs=1.0) 
+  egscore(formula, data, snpsubset, idsubset,
+    kinship.matrix, naxes = 3, strata, times = 1,
+    quiet = FALSE, bcast = 10, clambda = TRUE, propPs = 1)
 }
 \arguments{
-  \item{formula}{Formula describing fixed effects to be used in analysis, e.g. 
-	y ~ a + b means that outcome (y) depends on two covariates, a and b. 
-	If no covariates used in analysis, skip the right-hand side of the 
-	equation.
-	}
+  \item{formula}{Formula describing fixed effects to be
+  used in analysis, e.g. y ~ a + b means that outcome (y)
+  depends on two covariates, a and b.  If no covariates
+  used in analysis, skip the right-hand side of the
+  equation.}
+
   \item{data}{An object of \code{\link{gwaa.data-class}}}
-  \item{snpsubset}{Index, character or logical vector with subset of SNPs to run analysis on. 
-		If missing, all SNPs from \code{data} are used for analysis.}
-  \item{idsubset}{Index, character or logical vector with subset of IDs to run analysis on. 
-		If missing, all people from \code{data/cc} are used for analysis.}
-  \item{kinship.matrix}{kinship matrix, as returned by \code{\link{ibs}}, 
-			Use weight="freq" with \code{\link{ibs}} and do not forget to repalce 
-			the diagonal with Var returned by \code{\link{hom}}, as shown in example!}
-  \item{naxes}{Number of axes of variation to be used in adjustment (should be much smaller 
-		than number of subjects)}
-  \item{strata}{Stratification variable. If provieded, scores are computed within strata and 
-		then added up.}
-  \item{times}{If more then one, the number of replicas to be used in derivation of 
-		empirical genome-wide significance. 
-		}
+
+  \item{snpsubset}{Index, character or logical vector with
+  subset of SNPs to run analysis on.  If missing, all SNPs
+  from \code{data} are used for analysis.}
+
+  \item{idsubset}{Index, character or logical vector with
+  subset of IDs to run analysis on.  If missing, all people
+  from \code{data/cc} are used for analysis.}
+
+  \item{kinship.matrix}{kinship matrix, as returned by
+  \code{\link{ibs}}, Use weight="freq" with
+  \code{\link{ibs}} and do not forget to repalce the
+  diagonal with Var returned by \code{\link{hom}}, as shown
+  in example!}
+
+  \item{naxes}{Number of axes of variation to be used in
+  adjustment (should be much smaller than number of
+  subjects)}
+
+  \item{strata}{Stratification variable. If provieded,
+  scores are computed within strata and then added up.}
+
+  \item{times}{If more then one, the number of replicas to
+  be used in derivation of empirical genome-wide
+  significance.}
+
   \item{quiet}{do not print warning messages}
-  \item{bcast}{If the argument times > 1, progress is reported once in bcast replicas}
-  \item{clambda}{If inflation facot Lambda is estimated as lower then one, this parameter 
-		controls if the original P1df (clambda=TRUE) to be reported in Pc1df, 
-		or the original 1df statistics is to be multiplied onto this "deflation" 
-		factor (clambda=FALSE). 
-		If a numeric value is provided, it is used as a correction factor.}
-  \item{propPs}{proportion of non-corrected P-values used to estimate the inflation factor Lambda,
-		passed directly to the \code{\link{estlambda}}}
-}
-\details{
-The idea of this test is to use genomic kinship matrix to first, 
-derive axes of genetic variation (principal components), and, second, 
-adjust both trait and genotypes onto these axes. Note that 
-the diagonal of the kinship matrix should be replaced 
-(default it is .5+F, and for EIGENSTRAT one needs variance). 
-These variances are porduced by \code{\link{hom}} function (see
-example).
 
-The traits is first analysed using LM and with covariates as specified with 
-formula and also with axes of variation as predictors. Corrected genotypes are 
-defined as residuals from regression of genotypes onto axes (which are 
-orthogonal). Correlaton between corrected genotypes and phenotype is computed, 
-and test statistics is defined as square of this correlation times 
-(N - K - 1), where N is number of genotyped subjects and K is the number of 
-axes. 
+  \item{bcast}{If the argument times > 1, progress is
+  reported once in bcast replicas}
 
-This test is defined only for 1 d.f.
+  \item{clambda}{If inflation facot Lambda is estimated as
+  lower then one, this parameter controls if the original
+  P1df (clambda=TRUE) to be reported in Pc1df, or the
+  original 1df statistics is to be multiplied onto this
+  "deflation" factor (clambda=FALSE).  If a numeric value
+  is provided, it is used as a correction factor.}
+
+  \item{propPs}{proportion of non-corrected P-values used
+  to estimate the inflation factor Lambda, passed directly
+  to the \code{\link{estlambda}}}
 }
-%% \note{
-%% Original method of Price et al. uses covariance for both diagonal and off-diagonal
-%% elements of the matrix on which PC are computed. Kinship matrix returned by GenABEL
-%% contains 0.5+F (!= covariance) on the diagonal. As a temporary solution we now 
-%% replace diagonal elements with 0.5
-%% }
 \value{
   Object of class \code{\link{scan.gwaa-class}}
 }
-\references{
-	Price A. L. et al, Principal components analysis corrects for 
-	stratification in genome-wide association studies. Nat Genet 
-	38: 904-909.
+\description{
+  Fast score test for association between a trait and
+  genetic polymorphism, adjusted for possible
+  stratification by principal components.
 }
-\author{Yurii Aulchenko}
-%\note{}
-\seealso{
-\code{\link{qtscore}},
-\code{\link{mmscore}},
-\code{\link{ibs}},
-\code{\link{scan.gwaa-class}}
+\details{
+  The idea of this test is to use genomic kinship matrix to
+  first, derive axes of genetic variation (principal
+  components), and, second, adjust both trait and genotypes
+  onto these axes. Note that the diagonal of the kinship
+  matrix should be replaced (default it is .5+F, and for
+  EIGENSTRAT one needs variance).  These variances are
+  porduced by \code{\link{hom}} function (see example).
+
+  The traits is first analysed using LM and with covariates
+  as specified with formula and also with axes of variation
+  as predictors. Corrected genotypes are defined as
+  residuals from regression of genotypes onto axes (which
+  are orthogonal). Correlaton between corrected genotypes
+  and phenotype is computed, and test statistics is defined
+  as square of this correlation times (N - K - 1), where N
+  is number of genotyped subjects and K is the number of
+  axes.
+
+  This test is defined only for 1 d.f.
 }
 \examples{
 data(ge03d2c)
@@ -89,4 +94,17 @@
 a <- egscore(dm2~sex+age,data=ge03d2c,kin=gkin)
 plot(a,df="Pc1df")
 }
-\keyword{htest}% at least one, from doc/KEYWORDS
+\author{
+  Yurii Aulchenko
+}
+\references{
+  Price A. L. et al, Principal components analysis corrects
+  for stratification in genome-wide association studies.
+  Nat Genet 38: 904-909.
+}
+\seealso{
+  \code{\link{qtscore}}, \code{\link{mmscore}},
+  \code{\link{ibs}}, \code{\link{scan.gwaa-class}}
+}
+\keyword{htest}
+

Modified: pkg/GenABEL/man/export.plink.Rd
===================================================================
--- pkg/GenABEL/man/export.plink.Rd	2013-04-04 08:48:56 UTC (rev 1181)
+++ pkg/GenABEL/man/export.plink.Rd	2013-04-04 08:53:28 UTC (rev 1182)
@@ -3,7 +3,7 @@
 \title{Export GenABEL data in PLINK format}
 \usage{
   export.plink(data, filebasename = "plink",
-    phenotypes = "all", transpose = FALSE,
+    phenotypes = "all", transpose = TRUE,
     export012na = FALSE, ...)
 }
 \arguments{

Modified: pkg/GenABEL/man/ibs.Rd
===================================================================
--- pkg/GenABEL/man/ibs.Rd	2013-04-04 08:48:56 UTC (rev 1181)
+++ pkg/GenABEL/man/ibs.Rd	2013-04-04 08:53:28 UTC (rev 1182)
@@ -71,7 +71,7 @@
 }
 \examples{
 data(ge03d2c)
-set.seed(1)
+set.seed(7)
 # compute IBS based on a random sample of 1000 autosomal marker
 selectedSnps <- sample(autosomal(ge03d2c),1000,replace=FALSE)
 a <- ibs(ge03d2c,snps=selectedSnps)

Modified: pkg/GenABEL/man/qtscore.Rd
===================================================================
--- pkg/GenABEL/man/qtscore.Rd	2013-04-04 08:48:56 UTC (rev 1181)
+++ pkg/GenABEL/man/qtscore.Rd	2013-04-04 08:53:28 UTC (rev 1182)
@@ -28,7 +28,7 @@
   \item{trait.type}{"gaussian" or "binomial" or "guess"
   (later option guesses trait type)}
 
-  \item{times}{If more then one, the number of replicas to
+  \item{times}{If more than one, the number of replicas to
   be used in derivation of empirical genome-wide
   significance. See \code{\link{emp.qtscore}}, which calls
   qtscore with times>1 for details}



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