Els Verfaillie ugent.be> writes:
> For a geostatistical analysis, I would like to split my dataset randomly
> into 2 parts: a prediction set (with 2/3 of my data) and a validation set
> (with 1/3 of my data). Both datasets will thus contain different data. Any
> suggestions?
Normally, you will
?sample
> x <- 1:100 # test data
> y <- split(x, sample(1:2, length(x), replace=TRUE, prob=c(1,2)))
>
> y
$`1`
[1] 4 6 7 13 15 17 18 20 21 29 35 36 37 39 41 43 46 49 50 52 61 68
70 72 76 77 79 80 82 85 87 94 95 96 99
$`2`
[1] 1 2 3 5 8 9 10 11 12 14 16 19 22 23 24 25
2
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