The quick sort algorithm is an updated version of the merge sort algorithm with faster in-memory sorting capability. It is widely used in average-case as against worst-case scenarios. It is also efficient in terms of memory utilization, as it does not require the secondary vector when performing the merge operation. Quick sort can be accessed in R using functions such as sort (base) and quick sort (rje). It is also called partition-exchange sort. Like merge sort, quick sort also requires recursive implementation for effective execution.
The following is the three-step execution methodology of the quick sort algorithm for a given input vector V with n elements:
Select the pivot or root element of the given input vector. The pivot element is used to partition the entire vector into two subvectors such that all the elements in the first vector or left vector are less than the pivot, and all the elements in the second vector or right vector are greater than or equal to the pivot. However...