Thank you, but I believe that's not returning what I want. 

This maybe a better dat aset to work with. 

seq1 = seq(0, 100, by = 5) 
seq2 = seq(100, 1000, by = 100) 
Bands = c(seq1, seq2) 


DF1 <- data.frame(matrix(ncol = 2, 200))
colnames(DF1)<- c("Price", "Size")
DF1$Price <_ sample(1:1000, 200, replace=F) 
DF1$Size <_ sample(1:1000, 200, replace=F)

I'm looking to find the subtotal of size when their price falls within a band. 

The bands go 0 to 5, 5 to 10,....100 to 200,..., 900 to 1000. 

Therefore if we had:
Price Size
210
220
1120
1120

The total in this case would be
0 to 5 30
10 to 2040

Thank you







________________________________
 From: arun kirshna [via R] <ml-node+s789695n4646484h81@n4.nabble.com>
To: jcrosbie <james@crosb.ie> 
Sent: Wednesday, October 17, 2012 10:32 AM
Subject: Re: subtotals based on price bands?


Hi, 
May be this helps: 
seq1 = seq(0, 100, by = 5) 
seq2 = seq(100, 1000, by = 100) 
Bands = c(seq1, seq2) 
set.seed(1) 
Prices = sample(1:1000, 200, replace=F) 
set.seed(1) 
size = sample(1:1000, 200, replace=F) 
Prices1<-cut(Prices,breaks=unique(Bands)) 
 tapply(size,Prices1,sum) 
#      (0,5]      (5,10]     (10,15]     (15,20]     (20,25]     (25,30] 
  #       NA          NA          26          NA          23          NA 
    #(30,35]     (35,40]     (40,45]     (45,50]     (50,55]     (55,60] 
      #   31          NA          NA          NA          54          NA 
    #(60,65]     (65,70]     (70,75]     (75,80]     (80,85]     (85,90] 
      #  126          67          NA          79          82         179 
    #(90,95]    (95,100]   (100,200]   (200,300]   (300,400]   (400,500] 
      #  186          NA        2627        5342        8927        9961 
  #(500,600]   (600,700]   (700,800]   (800,900] (900,1e+03] 
    #  10932       14913       18677       12833       16022 
table(Prices1) 
#Prices1 
   #   (0,5]      (5,10]     (10,15]     (15,20]     (20,25]     (25,30] 
     #     0           0           2           0           1           0 
    #(30,35]     (35,40]     (40,45]     (45,50]     (50,55]     (55,60] 
      #    1           0           0           0           1           0 
    #(60,65]     (65,70]     (70,75]     (75,80]     (80,85]     (85,90] 
      #    2           1           0           1           1           2 
    #(90,95]    (95,100]   (100,200]   (200,300]   (300,400]   (400,500] 
      #    2           0          17          22          25          22 
  #(500,600]   (600,700]   (700,800]   (800,900] (900,1e+03] 
    #     20          23          25          15          17 
A.K. 


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