Try this:

rev(100 * cumsum(matt$reads > 1) / length(matt$reads) )

On Thu, Nov 4, 2010 at 1:46 PM, Changbin Du <changbind@gmail.com> wrote:

> HI, Dear R community,
>
> I have one data set like this,  What I want to do is to calculate the
> cumulative coverage. The following codes works for small data set (#rows =
> 100), but when feed the whole data set,  it still running after 24 hours.
> Can someone give some suggestions for long vector?
>
> id                reads
> Contig79:1    4
> Contig79:2    8
> Contig79:3    13
> Contig79:4    14
> Contig79:5    17
> Contig79:6    20
> Contig79:7    25
> Contig79:8    27
> Contig79:9    32
> Contig79:10    33
> Contig79:11    34
>
>
> matt<-read.table("/house/groupdirs/genetic_analysis/mjblow/ILLUMINA_ONLY_MICROBIAL_GENOME_ASSEMBLY/4083340/STANDARD_LIBRARY/GWZW.994.5.1129.trim_69.fastq.19621832.sub.sorted.bam.clone.depth",
> sep="\t", skip=0, header=F,fill=T) #
> dim(matt)
> [1] 3384766       2
>
> matt_plot<-function(matt, outputfile) {
> names(matt)<-c("id","reads")
>
>  cover<-matt$reads
>
>
> #calculate the cumulative coverage.
> + cover_per<-function (data) {
> + output<-numeric(0)
> + for (i in data) {
> +           x<-(100*sum(ifelse(data >= i, 1, 0))/length(data))
> +           output<-c(output, x)
> +                 }
> + return(output)
> + }
>
>
>  result<-cover_per(cover)
>
>
> Thanks so much!
>
>
> --
> Sincerely,
> Changbin
> --
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
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> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O

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