Determine the third quartile from a collection of integers in C++?

I'm reading Accelerated C++. At the moment I'm at the end of chapter 3 and here's the exercise that I'm trying to do:

"Write a program to compute and print the quartiles of a set of integers."

I found the first and the second quartiles, but I have no idea how to find the third. Here's my code:

 #include <algorithm>
 #include <iostream>
 #include <vector>
 using namespace std;

 int main(){
    cout<<"Enter numbers:";
    int x;
    vector<int>integers;
    while(cin>>x)
        integers.push_back(x);

    typedef vector<int>::size_type vec_sz;
    vec_sz size = integers.size();
    sort(integers.begin(), integers.end());
    vec_sz mid = size/2;
    vec_sz q1 = mid/2;
    double median;
    median = size % 2 == 0 ? ((double)integers[mid] + (double)integers[mid-1]) / 2
: integers[mid];
    double quartOne = ((double)integers[q1] + (double)integers[q1-1])/2; 
    cout<<"The First Quartile is: "<<quartOne<<endl;
    cout<<"The Second Quartile is: "<<median<<endl;
    return 0;
}

One way would be to sort the collection and then take the 3 dividing items:

vector<int> v = ...;
sort(v.begin(), v.end());
int q12 = v[v.size()*1/4];
int q23 = v[v.size()*2/4];
int q34 = v[v.size()*3/4];

This is O(nlogn) in the number of data items.

Another way would be to perform a binary search of the data for the three divisions seperately. ie propose an initial q12, check if it is correct by making a pass of the data, if it is incorrect adjust it up or down by half, and repeat. Do likewise for q23 and q34.

This is technically O(n) because a 32-bit int has a fixed range and can be binary searched in 32 passes max.