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PO
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Id
13775839
data
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0
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CreationDate
2012-12-08T08:32:56.740
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2012-12-08T08:32:56.740
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2017-05-23T10:28:14.990
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1412059
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13762100
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2
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1
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text
Body
<p>I am not sure if I understood you correctly. You need to learn how to create a <a href="https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example">minimal reproducible example</a> and in particular how to use <code>dput</code>. </p> <p>I called the data.frames <code>markerinfo</code>, <code>genotype</code>, <code>phenotype</code> and used only a small part of your data for testing. For my solution to work, each genotype and phenotype in markerinfo has to be present in the corresponding data.frames. (Thus, I had to change phenotypes in markerinfo, to make it work with the reduced datasets I used for testing.)</p> <pre><code>result <- lapply(seq_along(markerinfo$marker),function(i) { x <- as.character(markerinfo$marker[i]) res <- cbind(genotype[,x],phenotype[,as.character(markerinfo[i,"pheno"])]) colnames(res) <- c(paste('geno',x,sep="_"),paste('pheno',as.character(markerinfo[i,"pheno"]),sep="_")) res } ) result <- do.call('cbind',result) #combine lists head(result) geno_c3m22 pheno_CACNA1E geno_c3m22 pheno_CACNA1F geno_c3m16 pheno_CACNA1G geno_c3m20 pheno_RAPGEF2 [1,] 2 0.053503367 2 -0.05512395 2 -0.16406024 2 -0.247595001 [2,] 2 -0.296400594 2 -0.14167491 2 -0.28751925 2 0.076554542 [3,] 2 0.001312523 2 -0.33078461 2 -0.84388147 2 -0.327202333 [4,] 1 -0.138671725 1 0.15734291 1 -0.04136305 1 -0.007847655 [5,] 1 -0.453451438 1 -0.23904476 2 -0.34506117 1 -0.288891373 [6,] 1 -0.186128793 1 0.12046537 2 -1.45824366 1 -0.819438873 #this is a matrix, use as.data.frame to turn it into a data.frame </code></pre>
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