On Fri, Sep 10, 2010 at 1:24 PM, Duke <duke.li...@gmx.com> wrote:
> Hi all,
>
> I have to filter a tab-delimited text file like below:
>
> "GeneNames" "value1" "value2" "log2(Fold_change)"
> "log2(Fold_change) normalized" "Signature(abs(log2(Fold_change)
> normalized) > 4)"
> ENSG00000209350 4 35 -3.81131293562629 -4.14357714689656 TRUE
> ENSG00000177133 142 2 5.46771720082336 5.13545298955309 FALSE
> ENSG00000116285 115 1669 -4.54130810709955 -4.87357231836982
> TRUE
> ENSG00000009724 10 162 -4.69995182667858 -5.03221603794886
> FALSE
> ENSG00000162460 3 31 -4.05126372834704 -4.38352793961731 TRUE
>
> based on the last column (TRUE), and then write to a new text file, meaning
> I should get something like below:
>
> "GeneNames" "value1" "value2" "log2(Fold_change)"
> "log2(Fold_change) normalized" "Signature(abs(log2(Fold_change)
> normalized) > 4)"
> ENSG00000209350 4 35 -3.81131293562629 -4.14357714689656 TRUE
> ENSG00000116285 115 1669 -4.54130810709955 -4.87357231836982
> TRUE
> ENSG00000162460 3 31 -4.05126372834704 -4.38352793961731 TRUE
>
> I used read.table and write.table but I am still not very satisfied with the
> results. Here is what I did:
>
> expFC <- read.table( "test.txt", header=T, sep="\t" )
> expFC.TRUE <- expFC[expFC[dim(expFC)[2]]=="TRUE",]
> write.table (expFC.TRUE, file="test_TRUE.txt", row.names=FALSE, sep="\t" )
>
> Result:
>
> "GeneNames" "value1" "value2" "log2.Fold_change."
> "log2.Fold_change..normalized"
> "Signature.abs.log2.Fold_change..normalized....4."
> "ENSG00000209350" 4 35 -3.81131293562629 -4.14357714689656
> TRUE
> "ENSG00000116285" 115 1669 -4.54130810709955 -4.87357231836982
> TRUE
> "ENSG00000162460" 3 31 -4.05126372834704 -4.38352793961731
> TRUE
>
> As you can see, there are two points:
>
> 1. The headers were altered. All the special characters were converted to
> dot (.).
> 2. The gene names (first column) were quoted (which were not in the original
> file).
>
This will copy input lines matching pattern as well as the header to
the output verbatim preserving all quotes, spacing, etc.
myFilter <- function(infile, outfile, pattern = "TRUE$") {
L <- readLines(infile)
cat(L[1], "\n", file = outfile)
L2 <- grep(pattern, L[-1], value = TRUE)
for(el in L2) cat(el, "\n", file = outfile, append = TRUE)
}
# e.g.
myFilter("infile.txt", "outfile.txt")
--
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