I have a dateframe of player rankings over many years (2000-2020), which looks like : Now, I wish to group_by() and summarise() and calculate statistics for di
Let's say I have a data table library(data.table) DT <- data.table(x=c(1,1,0,0),y=c(0,1,2,3)) column_name <- "x" x y 1: 1 0 2: 1 1 3: 0 2 4: 0 3 And
I need to get all possible subsets of an array. Say I have this: [1, 2, 3] How do I get this? [], [1], [2], [3], [1, 2], [2, 3], [1, 3], [1, 2, 3] I am intere
I have a list of numbers a1, a2, a3, a4, a5, ... and so on. If we find XOR of all subsets then I noticed that frequency of each distinct XOR is the same. Exam
Given a set {1,2,3,4,5...n} of n elements, we need to find all subsets of length k . For example, if n = 4 and k = 2, the output would be {1, 2}, {1, 3}, {1,