You can just access the data from the list:
result <- lapply(output, function(.data){
lettermatch(creator, .data)
})
You can then take the "result" and possibly 'cbind' back into the matrix you
want.
On Mon, Mar 8, 2010 at 10:59 AM, Laetitia Schmid <laetitia.sch...@gmx.ch>wrote:
> Hi!
> I need some help to finish my script.
>
> I have two tables that I combine randomly to produce a third table.
> This I do for hundreds of iterations. In the output file I get all the
> simulated tables after each other. It looks like this (in this case 3
> iterations):
>
> output file:
>
> [[1]]
> [,1] [,2] [,3]
> [1,] "GM030005" "WI920024" "CCCC"
> [2,] "GM930026" "WI920362" "CCCC"
> [3,] "GM980051" "WI920007" "CGCC"
> [4,] "GM970009" "WI920417" "CCCC"
> [5,] "GM920089" "WI920023" "CCCC"
> [6,] "GM930109" "WI920359" "CCCC"
> [7,] "GM980007" "WI920428" "CGCC"
> [8,] "GM940039" "WI920430" "CCCC"
> [9,] "GM990027" "WI920349" "CCCC"
> [10,] "GM920222" "WI920410" "CGCC"
> [11,] "GM930029" "WI920001" "CGCC"
> [12,] "GM990105" "WI920431" "CCCC"
> [13,] "GM050009" "WI920430" "CCCC"
> [14,] "GM920224" "WI920369" "CCCC"
> [15,] "GM920224" "WI920352" "CCCC"
> [16,] "GM960028" "WI920427" "CCCC"
> [17,] "GM940031" "WI920004" "CCCC"
> [18,] "GM930040" "WI920441" "CCCC"
> [19,] "GM930040" "WI920441" "CCCC"
> [20,] "GM050099" "WI920417" "CCCC"
> [21,] "GM050099" "WI920423" "CCCG"
> [22,] "GM920096" "WI920370" "CCCC"
> [23,] "GM920034" "WI920437" "CCCC"
> [24,] "GM960023" "WI920017" "CCCC"
> [25,] "GM920031" "WI920430" "CCCC"
> [26,] "GM920202" "WI920367" "CCCG"
> [27,] "GM990066" "WI920410" "CCCC"
>
> [[2]]
> [,1] [,2] [,3]
> [1,] "GM030005" "WI920017" "CCCC"
> [2,] "GM930026" "WI920415" "CCCC"
> [3,] "GM980051" "WI920028" "CGCC"
> [4,] "GM970009" "WI920017" "CCCC"
> [5,] "GM920089" "WI920028" "CCCC"
> [6,] "GM930109" "WI920353" "CCCC"
> [7,] "GM980007" "WI920009" "CGCT"
> [8,] "GM940039" "WI920415" "CCCC"
> [9,] "GM990027" "WI920423" "CCCG"
> [10,] "GM920222" "WI920423" "CGCG"
> [11,] "GM930029" "WI920363" "CGCC"
> [12,] "GM990105" "WI920362" "CCCC"
> [13,] "GM050009" "WI920365" "CCCC"
> [14,] "GM920224" "WI920362" "CCCC"
> [15,] "GM920224" "WI920410" "CCCC"
> [16,] "GM960028" "WI920355" "CCCG"
> [17,] "GM940031" "WI920361" "CCCC"
> [18,] "GM930040" "WI920356" "CCCC"
> [19,] "GM930040" "WI920353" "CCCC"
> [20,] "GM050099" "WI920360" "CCCC"
> [21,] "GM050099" "WI920353" "CCCC"
> [22,] "GM920096" "WI920023" "CCCC"
> [23,] "GM920034" "WI920426" "CCCC"
> [24,] "GM960023" "WI920024" "CCCC"
> [25,] "GM920031" "WI920022" "CCCC"
> [26,] "GM920202" "WI920009" "CCCG"
> [27,] "GM990066" "WI920001" "CCCC"
>
> [[3]]
> [,1] [,2] [,3]
> [1,] "GM030005" "WI920433" "CCCC"
> [2,] "GM930026" "WI920408" "CCCC"
> [3,] "GM980051" "WI920352" "CGCC"
> [4,] "GM970009" "WI920416" "CCCC"
> [5,] "GM920089" "WI920022" "CCCC"
> [6,] "GM930109" "WI920369" "CCCC"
> [7,] "GM980007" "WI920415" "CGCC"
> [8,] "GM940039" "WI920022" "CCCC"
> [9,] "GM990027" "WI920361" "CCCC"
> [10,] "GM920222" "WI920024" "CGCC"
> [11,] "GM930029" "WI920437" "CGCC"
> [12,] "GM990105" "WI920423" "CCCG"
> [13,] "GM050009" "WI920416" "CCCC"
> [14,] "GM920224" "WI920423" "CCCG"
> [15,] "GM920224" "WI920427" "CCCC"
> [16,] "GM960028" "WI920437" "CCCC"
> [17,] "GM940031" "WI920441" "CCCC"
> [18,] "GM930040" "WI920417" "CCCC"
> [19,] "GM930040" "WI920370" "CCCC"
> [20,] "GM050099" "WI920015" "CCCC"
> [21,] "GM050099" "WI920428" "CCCC"
> [22,] "GM920096" "WI920007" "CCCC"
> [23,] "GM920034" "WI920009" "CCCG"
> [24,] "GM960023" "WI920410" "CCCC"
> [25,] "GM920031" "WI920430" "CCCC"
> [26,] "GM920202" "WI920015" "CCCC"
> [27,] "GM990066" "WI920415" "CCCC"
>
> Now I would like to compare one of the tables used to create the
> output tables with every output table, one after the other. In detail,
> I am comparing row 1 of the "creator" table with row 1 of the first
> output table and then row 2 of the "creator" table with row 2 of the
> first output table and so on until row 27 and each row for all
> columns. Then, when the first output table is finished I go on
> comparing the first "creator" table with the second table in the
> output, row for row for all columns. I do this for all iterations.
>
> The first "creator" table is called "data_mc".
>
> # apply similarity function (lettermatch) to my data
> for (i in 1:(nrow(data_mc))){
> for (y in 1:(ncol(data_mc))) {
> creator_table <- data_mc[data_mc$Status=="mother",y]
> output_tables <- ???
> output[i,y]<-(lettermatch(creator_table, output_tables))
> }
> }
>
> Could you please help me how I have to call up the output tables in
> the way I need them (described above) for the function "lettermatch"?
> Maybe I need to change the format of the output file?
>
> Thank you.
> Laetitia
>
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> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?
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