1) select only denied individuals from the original data. This is S.
2) There is a fixed sample size of exactly t
3) There is a fixed target sum T such that sum(t values from S) = T
You can reduce the problem. All large values where the max(S) + (t-1 smallest
values) > T can be eliminated from S
Just a comment:
You wish to draw subsets of size n with or without replacement -- and I
suspect without replacement is simpler than with -- from a set of positive
integers that sum to a fixed value T. This sounds related to the so-called
subset sum problem in computational complexity theory: Given
Às 12:26 de 14/04/2025, Brian Smith escreveu:
Hi,
For my analytical work, I need to draw a sample of certain sample size
from a denied population, where population members are marked by
non-negative integers, such that sum of sample members if fixed. For
example,
Population = 0:100
Sample_size
Hi,
For my analytical work, I need to draw a sample of certain sample size
from a denied population, where population members are marked by
non-negative integers, such that sum of sample members if fixed. For
example,
Population = 0:100
Sample_size = 10
Sample_Sum = 20
Under this setup if my sam
On 2025-04-14 7:26 a.m., Brian Smith wrote:
Hi,
For my analytical work, I need to draw a sample of certain sample size
from a denied population, where population members are marked by
non-negative integers, such that sum of sample members if fixed. For
example,
Population = 0:100
Sample_size =
1) extract relevant observations to a new data frame. Either of these two
commands works.
filter(df, age > 24)
df[df$age > 24, ]
2) sample the new data frame
df[sample(nrow(df), 10, replace = TRUE), ]
change TRUE to FALSE if you do not want replacement.
Tim
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From: R-hel
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