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307 bytes added ,  04:06, 23 March 2015
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Assume that you have a set of single variant score statistics and their covariance matrices. The examplar command can be:
 
Assume that you have a set of single variant score statistics and their covariance matrices. The examplar command can be:
   −
score.stat.file<- c('study1.singlevar.assoc.gz','study1.singlevar.assoc.gz');
+
cov.file <- c("study1.MetaCov.assoc.gz","study2.MetaCov.assoc.gz");
cov.file<- c('study1.singlevar.cov.gz','study1.singlevar.cov.gz');
+
score.stat.file <- c("study1.MetaScore.assoc.gz","study2.MetaScore.assoc.gz")
    +
res <- rareMETALS.single(score.stat.file,
 +
                        cov.file=NULL,
 +
                        range="19:11200093-11201275",
 +
                        alternative="two.sided",
 +
                        ix.gold=1,
 +
                        callrate.cutoff=0,
 +
                        hwe.cutoff=0)
    
== A Simple Tutorial for Using the rareMETALS.gene function ==
 
== A Simple Tutorial for Using the rareMETALS.gene function ==
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