how to randomly select the samples with different probabilities for different classes?
Hi Marna, If we assume a sample size of 1, something like this: dat[sample(which(dat$group!="C"),ceiling(14*0.4),TRUE),] dat[sample(which(dat$group=="C"),floor(14*0.6),TRUE),] Then just step through the two subsets to access your samples. One problem is that you will not get exactly 40 or 60 %, which is why I had to put the "ceiling " and "floor" functions to work. Also, you will have to sample with replacement as you will exhaust the "C" group. Jim
On Wed, Dec 7, 2016 at 10:58 PM, Marna Wagley <marna.wagley at gmail.com> wrote:
Hi R user,
I have samples with covariates for different classes, I wanted to choose
the samples of different groups with different probabilities. For example,
I have a 22 samples size with 3 classes,
groupA has 8 samples
groupB has 8 samples
groupC has 6 samples
I want to select a total 14 samples from 22 samples, in which 40% of the
14 samples should be in groups A and B, 60% of the 14 samples should be in
the group C.
Would you mind to help me on how I can select the samples with that
conditions? I have attached a sample data
dat<-structure(list(sampleID = c(17L, 21L, 36L, 45L, 67L, 82L, 90L,
31L, 70L, 45L, 24L, 80L, 82L, 45L, 85L, 14L, 81L, 96L, 61L, 12L,
65L, 88L), group = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("A",
"B", "C"), class = "factor")), .Names = c("sampleID", "group"
), class = "data.frame", row.names = c(NA, -22L))
thanks,
MW
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