I have 'x' variables that I need to find the optimum combination of, with the
constraint that the sum of all x variables needs to be exactly 100. I need
to test all combinations to get the optimal mix.
This is easy if I know how many variables I have - I can hard code as below.
But what if I don't know the number of variables and want this to be a
flexible parameter. Is there a sexy recursive way that this can be done in
R?
#for combinations of 2 variables
vars = 2
for(i in 0:100){
for(j in 0:(100-i)){
...do some test i,j combination
}}
#for combinations of 3 variables
vars = 3
for(i in 0:100){
for(j in 0:(100-i)){
for(k in 0:100-(i+j)){
...do some test on i,j,k combination
}}}
--
View this message in context:
http://r.789695.n4.nabble.com/can-this-sequence-be-generated-easier-tp3607240p3607240.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
