1) Calculate values and then lengths based on values
s <- split(x, cumsum(c(0, diff(x) != 1)))
run.info <- list(lengths = unname(sapply(s, length)), values = unname(s))
Running it using x
from the question gives this:
> str(run.info)
List of 2
$ lengths: int [1:5] 3 6 1 2 6
$ values :List of 5
..$ : num [1:3] 3 4 5
..$ : num [1:6] 10 11 12 13 14 15
..$ : num 17
..$ : num [1:2] 22 23
..$ : num [1:6] 35 36 37 38 39 40
2) Calculate lengths and then values based on lengths
Here is a second solution based on Gregor's length calculation:
lens <- rle(x - seq_along(x))$lengths
list(lengths = lens, values = unname(split(x, rep(seq_along(lens), lens))))
3) Calculate lengths and values without using other
This one seems inefficient since it calculates each of lengths
and values
from scratch and it also seems somewhat overly complex but it does manage to get it all down to a single statement so I thought I would add it as well. Its basically just a mix of the prior two solutions marked 1) and 2) above. Nothing really new relative to those two.
list(lengths = rle(x - seq_along(x))$lengths,
values = unname(split(x, cumsum(c(0, diff(x) != 1)))))
EDIT: Added second solution.
EDIT: Added third solution. ?
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