I have a vector and I'm able to return highest and lowest value, but how to return 5 topmost values? Is there a simple one-line solution for this?
How to return 5 topmost values from vector in R?
> a <- c(1:100)
> tail(sort(a),5)
[1] 96 97 98 99 100
tail is slightly faster than head and decreasing = TRUE > x <- rnorm(50000000) > system.time(tail(sort(x), 5)) user system elapsed 22.64 0.25 22.95 > system.time(head(sort(x, decreasing = TRUE), 5)) user system elapsed 23.26 0.20 23.51 –
Motorway
@Motorway You should run this more then once and take average time. Cause I think there is no difference (statistically speaking), based on my simulations. –
Homelike
I get on average 2% faster times for user.self and elapse. The gain on sys.self is 8%. But the relevance on the gain depends on the application. –
Motorway
Using sort(x, method='quick') is significantly faster, but David's solution below using the partial argument is even faster. –
Macnamara
x[order(x)[1:5]]
should be
x[order(x, decreasing = TRUE)[1:5]]
but the accepted answer is good –
Try Yes, head( X, 5)
where X
is your sorted vector.
tail(sort.int(x, partial=length(x) - 4), 5)
Using sort.int with partial has the advantage of being (potentially) faster by (potentially) not doing a full sort. But in reality, my implementation appears a little slower. Maybe this is because with parameter partial != NULL, shell sort is used rather than quick sort?
> x <- 1:1e6
> system.time(replicate(100, tail(sort.int(x, partial=length(x) - 4), 5)))
user system elapsed
4.782 0.846 5.668
> system.time(replicate(100, tail(sort(x), 5)))
user system elapsed
3.643 0.879 4.854
If you instead use x<-runif(1e6) you'd see the benefit. Note that those 5 values you get back would indeed be the highest 5, but not necessarily in a sorted order. –
Macnamara
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head(sort(a, decreasing=TRUE), 5)
– Homelike