finding an observation that belongs to a range

Hi,

A=10455.875;
B=[0.183360563
0.977332866
1.52157357
0.478903256
2.062533507
1.057391671
2.703804872
0.387156764
1.509153916
0.780345876
0.584786482
0.630546822
1.164499219
2.18467966
1.120225382
1.442432903
0.57270282
1.521600334
1.302900886
1.38032646
0.904185496
1.462748054
0.874747668
0.939408895
0.578160289
0.704073418
0.432654455
0.874389253
2.079124229
1.250012066
1.764877112
1.294445292
2.933153035
0.67952879
0.819383367
1.113401832
0.416496245
0.960391501
0.932682761]

I am trying to find to which part of the distribution of B variables A belongs if these parts are segmented by 10% for each segment.

I wrote the following codes: x2=quantile(B,0.1:0.1:1); x3= histc(A,x2);%%%find the segment x4=find(x3==1);

these codes work well if A is above the first 10% segment and below the last 10% segment but I am unable to generate what i want if A is lower than any value in B and A is higher than any value in B (such as in this case, where i want the codes to tell me that A belongs to the last 10% by showing a value of 1 for the last decile in x3). Are there any remedy to this situation?

Answer 1

[Oleg Komarov]

Use

x2 = quantile(B,0.1:0.1:.9); 
x3 = histc(A,[-inf x2 inf])

But you'll have to throw away the last value of x3 (unless A is Inf)