Given two data sets I would like to count the occurrences of one dependent on the other. For example,

upb is defined as follows

                P4         P5
 [1,] -0.0406703026 0.02952575
 [2,]  0.0008282428 0.06102947
 [3,]  0.0098109756 0.08774035
 [4,]  0.0183787962 0.11517816
 [5,]  0.0275845430 0.14899661
 [6,]  0.0390078215 0.19359835
 [7,]  0.0541145248 0.26253533
 [8,]  0.0772375923 0.37398115
 [9,]  0.1228048769 0.58875809
[10,]  0.9980051666 7.41044290

then I have a data set which consists of the original values of the variable sP4 and P5 with the number of observations of around 11000. What I would like to do is to count how many observations of P4 are smaller than opb[1,1] and then for upb[2,1] and so on. Also this I would like to do for the other variable P5. The results would be stored in another matrix say obs with dim(obs) = 10x2.

I have been trying to do this using for loops and if statements, but was wondering whether there was an easier way, for example some S-PLUS function that would do count given the condition. Thanks.