[R] Identifying the bin where a value is included.

arun smartpink111 at yahoo.com
Wed Sep 18 15:26:24 CEST 2013


Hi,
Try: set.seed(49)
 t(sapply(seq_len(ncol(pro)),function(i) {ids<- runif(1); x1<-cut(ids,breaks=pro[,i]); c(ids=ids,bin_location=x1)}))
#           ids bin_location
#[1,] 0.3656991            1
#[2,] 0.4878542            2

A.K.




----- Original Message -----
From: ioanna ioannou <ii54250 at msn.com>
To: r-help at r-project.org
Cc: 
Sent: Wednesday, September 18, 2013 8:43 AM
Subject: Re: [R] Identifying the bin where a value is included.

Hello all, 

A very simple problem. 

Lets assume I  have an interval [0,1] and I split it in 6 bins having
thresholds:
pro= cbind(0, 0.3675509, 0.8618615, 0.9814291, 0.9975283, 0.9997789,
1.0000000,
           0, 0.3662881, 0.8609743, 0.9812032, 0.9974822, 0.9997738,
1.0000000)

dim(pro)<-c(7,2)

I randomly generate a number and I want to identify which bin it belongs
to. How? What I provide below doesn't seem to be working. 
Any ideas?

for (i in 1:2){
    ids<-runif(1)
  for (j in 1:length(pro[,i])-1){
    if (ids < pro[j,i]) {
      ds[i]<-j
    }
    else {
      ds[i]<-6
    } 
  }
}

Best, 
IOanna

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