I have a vector of probabilities and want to divide it into 100 bins. How can I find the number of elements in each bin i.e bin frequency?

+1 vote

There are multiple ways. You can use either **hist()** or **cut()** function to divide your vector of probabilities into multiple bins and then find the bin frequency, i.e., the number of elements in each bin.

Here I am generating 500 random float values between 0 and 1 and dividing them into 10 bins.

__Approach 1__

> probs <- runif(500, 0, 1)

> g=as.data.frame(table(cut(probs, breaks=seq(0,1,0.1))))

> g

Var1 Freq

1 (0,0.1] 58

2 (0.1,0.2] 37

3 (0.2,0.3] 44

4 (0.3,0.4] 57

5 (0.4,0.5] 59

6 (0.5,0.6] 48

7 (0.6,0.7] 53

8 (0.7,0.8] 43

9 (0.8,0.9] 50

10 (0.9,1] 51> g$Freq

[1] 58 37 44 57 59 48 53 43 50 51

__Approach 2__

> g1=hist(probs, breaks = 10, plot = FALSE)

> g1$counts

[1] 58 37 44 57 59 48 53 43 50 51

>