Re: [R] Analyzing large files faster

2012-06-12 Thread Jorge I Velez
Another alternative is to use ?subset HTH, Jorge.- On Tue, Jun 12, 2012 at 6:06 PM, Rui Barradas <> wrote: > Hello, > > The trick is to use index vectors. They allow us to do without loops. > > Try the following. > > > muscle <- read.table(text=' > > "ID""adj.P.Val" "logFC"

Re: [R] Analyzing large files faster

2012-06-12 Thread Rui Barradas
Hello, The trick is to use index vectors. They allow us to do without loops. Try the following. muscle <- read.table(text=' "ID" "adj.P.Val" "logFC" "Gene.symbol" "1419156_at" "5.32e-12""2.6462565" "Sox4" "1433575_at" "5.32e-12""3.9417089" "Sox4" "

[R] Analyzing large files faster

2012-06-12 Thread mousy0815
I'm trying to analyze the following data set (sample): "ID""adj.P.Val" "logFC""Gene.symbol" "1419156_at""5.32e-12" "2.6462565" "Sox4" "1433575_at""5.32e-12" "3.9417089" "Sox4" "1428942_at""2.64e-11" "3.9163618" "Mt2" "1