I have a single list of numeric vector and I want to combine them into one vector. But I am unable to do that. This list can have one element common across the list element. Fin
Another answer using Reduce()
.
Create the list of vectors:
lst <- list(c(1,2),c(2,4,5),c(5,9,1))
Combine them into one vector
vec <- Reduce(c,lst)
vec
# [1] 1 2 2 4 5 5 9 1
Keep the repeated ones only once:
unique(Reduce(c,lst))
#[1] 1 2 4 5 9
If you want to keep that repeated one at the end, You might want to use vec[which(c(1,diff(vec)) != 0)]
as in @Rachid's answer
stack will do this nicely too, and looks more concise:
stack(lst)$values
Benchmarking the two answers by Rachit and Martijn
rbenchmark::benchmark(
"unlist" = {
vec<-unlist(a)
vec[which(diff(vec) != 0)]
},
"reduce" = {
a %>% reduce(c) %>% unique
}
)
Output:
test replications elapsed relative user.self sys.self user.child sys.child
2 reduce 100 0.036 3 0.036 0.000 0 0
1 unlist 100 0.012 1 0.000 0.004 0 0
This one clearly beat the other one.
Doing it the tidyverse way:
library(tidyverse)
lst %>% reduce(c) %>% unique
This uses the (uncapitalized) reduce
version from purrr in combination with pipes. Also note that if the list contains named vectors, the final naming will be different depending on whether unlist
or reduce
methods are used.
A solution that is faster than the one proposed above:
vec<-unlist(lst)
vec[which(c(1,diff(vec)) != 0)]
You want rle:
rle(unlist(lst))$values
> lst <- list(`1`=1:2, `2`=c(2,4,5), `3`=c(5,9,1))
> rle(unlist(lst))$values
## 11 21 22 31 32 33
## 1 2 4 5 9 1