[BioC] Extracting elements from a table with VennCounts
James W. MacDonald
jmacdon at uw.edu
Tue Apr 17 17:17:03 CEST 2012
Hi Leonor,
On 4/17/2012 5:19 AM, lcarvalh at btk.fi wrote:
>
> I have a table in this format that comes from the function vennCounts:
>
> c1 c2 c3 c4 Counts
> [1,] 0 0 0 0 26
> [2,] 0 0 0 1 27
> [3,] 0 0 1 0 4
> [4,] 0 0 1 1 6
> [5,] 0 1 0 0 5
> [6,] 0 1 0 1 12
> [7,] 0 1 1 0 42
> [8,] 0 1 1 1 78
> [9,] 1 0 0 0 18
> [10,] 1 0 0 1 52
> [11,] 1 0 1 0 4
> [12,] 1 0 1 1 63
> [13,] 1 1 0 0 13
> [14,] 1 1 0 1 47
> [15,] 1 1 1 0 88
> [16,] 1 1 1 1 182
> attr(,"class")
> [1] "VennCounts"
>
>
> I am trying to write a R script that will "extract" from the table for example
> the cases that have c2==1, (c2 and c3)== 1, (c2 and c4)==1, (c1 and c2 and
> c3)==1, and so on ... so that in the end I will have a list that has the Counts
> value for each case.
>
> Example list for columns that have c2 == 1: C2<-c(4, 42, 12, ...)
>
> I tried to it on this way: totalC2<-table[table[c1]], also if I use table$c1 ==
> 1 it is not working.
>
> Can anyone give-me a suggestion how to solve this problem?
I'm not sure that I understand exactly what you want. You say you want a
list of counts for each case, yet the VennCounts object that you show
above has just that.
However, maybe in fact what you want is a list of say TRUE/FALSE that
indicates if a given gene is in a particular cell of the Venn diagram.
If that is what you want, then you could use the makeIndices() function
in affycoretools.
Note that this function isn't designed for end users; instead it is a
helper function for vennSelect(), which goes one step further and
outputs annotated tables for each cell of a Venn diagram, which may
actually what you are after. The makeIndices() function is buried in the
affycoretools namespace, so you have to use the triple colon operator to
get to it. An example would be
rslt <- decideTests(fit)
indlst <- affycoretools:::makeIndices(rslt)
Also note that makeIndices() has a method argument. See ?vennSelect for
possible values for this argument.
Best,
Jim
>
> Thank you,
>
> Leonor
>
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--
James W. MacDonald, M.S.
Biostatistician
University of Washington
Environmental and Occupational Health Sciences
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Seattle WA 98105-6099
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