[R] Sampling with Constraints for testing and training data

[Eliano]

Hi People,

Thus anyone have a good solution for this problem:

a database called DB.


index <- sample(1:nrow(DB), size=0.2*nrow(BD))
test <- DB[index,]
train <- DB[-index,]

One of the variables in this database contais a target variable with two
values 0 and 1.

Imagine now that i want to constraint the test data frame so the 20% of the
size of "test" has 50% of DB$target.

Imagine: n=100
DB$target = { 0=80
                           1=20}

test=20 and contain 10 random values of DB$target=1 and 10 random values of
DB$target=0.



Many Thanks,
Eliano








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