Count <- c(1:10)
Give <- c(0,0,5,0,0,5,0,5,0,5)
X <- c(rep(0,10))
Y <- c(rep(0,10))
Z <- c(rep(0,10))
X_Target <- 5
Y_Target <- 10
Z_Target <- 5
Basically I have 3 vectors (X,Y,Z) and a target for each one of them. I want to have a new calculation for X,Y and Z that based on the vector Give. Once the number on Give is bigger than 0 then it's need to be added to Vector X until it equel to X_Target. Then - the calcultion need to move to the next vector (Y) and do the same, and then to next vector...
I'm not sure how to generalize to arbitrary columns. The easiest would be with a for loop, something like that (with probably quite a bit of thinking required for correct initialization etc):
I don't see how to easily use *apply() or map_*() since the result of each column depends on the previous columns, that means you would need to expand some big combination vector to get the equivalent of sum_of_previous_targets .