There are lots of ways to do this. For example,
> groups <- cut(data$value, include.lowest = T, right = FALSE,
+ breaks = 0:ceiling(max(data$value)))
> grp <- c("[0,1)", "[1,2)", "[2,3)", "[3,4)", "[4,5)")
> size <- c(10, 7, 5, 5, 3)
> set.seed(42)
> samples <- lapply(1:5, function(x) sample(data$id[groups==grp[x]],
+ size[x]))
> names(samples) <- grp
> samples
$`[0,1)`
[1] 69 68 33 63 56 46 65 12 50 58
$`[1,2)`
[1] 20 34 43 8 15 52 19
$`[2,3)`
[1] 7 22 62 28 2
$`[3,4)`
[1] 61 53 5 25 21
$`[4,5)`
[1] 59 35 40
>
> groups <- cut(data$value, include.lowest = T, right = FALSE,
+ breaks = 0:ceiling(max(data$value)))
> grp <- c("[0,1)", "[1,2)", "[2,3)", "[3,4)", "[4,5)")
> size <- c(10, 7, 5, 5, 3)
> set.seed(42)
> samples <- lapply(1:5, function(x) sample(data$id[groups==grp[x]],
+ size[x]))
> names(samples) <- grp
> samples
$`[0,1)`
[1] 69 68 33 63 56 46 65 12 50 58
$`[1,2)`
[1] 20 34 43 8 15 52 19
$`[2,3)`
[1] 7 22 62 28 2
$`[3,4)`
[1] 61 53 5 25 21
$`[4,5)`
[1] 59 35 40
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-----Original Message-----
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Frank S.
Sent: Monday, December 14, 2015 2:02 PM
To: r-help@r-project.org
Subject: [R] Random selection of a fixed number of values by interval
Dear R users,
I'm writing to this list because I must get a random sample (without
replacement) from a given vector, but the clue is that I need to extract a
fixed number of values by each prespecified 1-unit interval. As an example I
try to say, I have a data frame that looks like this (my real dataframe is
bigger):
data <- data.frame(id = 1:70, value= c(0.68, 2.96, 1.93, 5.63, 3.08, 3.10,
2.99, 1.79, 2.96, 0.85, 11.79, 0.06, 4.31, 0.64, 1.43, 0.88, 2.79, 4.67,
1.23, 1.43, 3.05, 2.44, 2.55, 3.82, 3.55, 1.56, 7.25, 2.75, 9.64, 5.14,
3.54, 3.12, 0.17, 1.07, 4.08, 4.47, 5.58, 7.41, 0.85, 4.30, 7.58,
0.58, 1.40, 4.74, 5.04, 0.14, 1.14, 3.28, 7.84, 0.07, 3.97, 1.02, 3.47,
0.66, 2.38, 0.06, 0.67, 0.48, 4.48, 0.12, 3.82, 2.27, 0.93, 0.30,
0.73, 0.33, 2.91, 0.81, 0.18, 0.42))
And I would like to select, in a random manner:
10 id's whose value belongs to [0,1) interval
7 id's whose value belongs to [1,2)
5 id's whose value belongs to [2,3)
5 id's whose value belongs to [3,4)
3 id's whose value belongs to [4,5)
# I have the following values by each 1-unit interval:
table(cut(data$value, include.lowest = T, right = FALSE, breaks =
0:ceiling(max(data$value))))
and the size vector:
size <- c(10, 7, 5, 5, 3)
But I'm not able to get it by using sample function. Does anyone have some idea?
Thank you very much for any suggestions!!
Frank S.
[[alternative HTML version deleted]]
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
