I have a vector of integers like this:
a <- c(2,3,4,1,2,1,3,5,6,3,2)
values<-c(1,2,3,4,5,6)
I want to list, for every unique value in my vector (the unique values being ordered), the position of their occurences. My desired output:
rep_indx<-data.frame(c(4,6),c(1,5,11),c(2,7,10),c(3),c(8),c(9))
split
fits pretty well here, which returns a list of indexes for each unique value in a
:
indList <- split(seq_along(a), a)
indList
# $`1`
# [1] 4 6
#
# $`2`
# [1] 1 5 11
#
# $`3`
# [1] 2 7 10
#
# $`4`
# [1] 3
#
# $`5`
# [1] 8
#
# $`6`
# [1] 9
And you can access the index by passing the value as a character, ie:
indList[["1"]]
# [1] 4 6
You can do this, using sapply
. The ordering that you need is ensured by the sort
function.
sapply(sort(unique(a)), function(x) which(a %in% x))
#### [[1]]
#### [1] 4 6
####
#### [[2]]
#### [1] 1 5 11
#### ...
It will result in a list, giving the indices of your repetitions. It can't be a data.frame because a data.frame needs to have columns of same lengths.
sort(unique(a))
is exactly your vector
variable.
NOTE: you can also use lapply
to force the output to be a list. With sapply
, you get a list except if by chance the number of replicates is always the same, then the output will be a matrix... so, your choice!
Perhaps this also works
order(match(a, values))
#[1] 4 6 1 5 11 2 7 10 3 8 9
您可以使用lapply
函数返回带有索引的列表。
lapply(values, function (x) which(a == x))
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