I am trying to extract some information from a table and I am trying to avoid any for loops or apply type functions.
Assume a vector m
m=c(1:20)
m
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
and a matrix g
x1=c(0,1,0,1,2,0,1,2,3,0,1,2,3,4,0,1,2,3,4,5)
x2=c(1,0,2,1,0,3,2,1,0,4,3,2,1,0,5,4,3,2,1,0)
u=.4*x1^.5+.6*x2^.5
g=cbind(x1,x2,u)
g
x1 x2 u
[1,] 0 1 0.6000000
[2,] 1 0 0.4000000
[3,] 0 2 0.8485281
[4,] 1 1 1.0000000
[5,] 2 0 0.5656854
[6,] 0 3 1.0392305
[7,] 1 2 1.2485281
[8,] 2 1 1.1656854
[9,] 3 0 0.6928203
[10,] 0 4 1.2000000
[11,] 1 3 1.4392305
[12,] 2 2 1.4142136
[13,] 3 1 1.2928203
[14,] 4 0 0.8000000
[15,] 0 5 1.3416408
[16,] 1 4 1.6000000
[17,] 2 3 1.6049159
[18,] 3 2 1.5413485
[19,] 4 1 1.4000000
[20,] 5 0 0.8944272
I want for every element of m, to check if the sum g[,1]+g[,2] is equal to that element. For all the cases where the condition is TRUE, I want my code to return the position of the one which has the highest value of g[,3]. For example when m=5, the condition x[,1]+x[,2]==5 is TRUE at 15,16,17,18,19 and 20. Out of this 6, entry 17 has the highest value, so I want my code to return the value 17.
So at the end, I would expect a vector of length=length(m), that will indicate for each element of m, where is the maximum value of g[,3] that satisfies the above condition.
Currently I am using apply over each row of g, but this process is repeated thousands of times, and my code is very slow. To speed up things I resorted to ifelse in an effort to do things in a vectorised way.
What I am trying to do is the following:
ifelse(m>0,which(g[,3]==max(g[which(g[,1]+g[,2]==m),3])),0)
When I am running this I am getting
[1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
while if I substitute m with 5, it returns a vector of 17s. It seems that it only uses the first element of m instead of the whole vector. Any suggestions of how I can make this work, or an alternative that could do the same job is more than welcome.
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