A bit untidy, but does the job:
d <- data.frame(a=a[-(1:2)], diff=diff(a, 2))
d$br <- 0
for (i in 1:nrow(d)) {
if (i==1 & d$diff[1]==2) {
d$br[1] <- 1
} else if (i==2 & d$diff[2]==2 & d$br[1]!=1) {
d$br[2] <- 1
}
if (d$diff[i]==2 & !any(sum(d$br[c(i-1, i-2)])>0)) d$br[i] <- 1
}
t(sapply(d$a[d$br==1], function(x) (x-2):x))
# [,1] [,2] [,3]
# [1,] 1 2 3
# [2,] 6 7 8
# [3,] 9 10 11
# [4,] 19 20 21
# [5,] 22 23 24
Wrapping all that into a function, and testing with another sequence:
getConsec <- function(a) {
d <- data.frame(a=a[-(1:2)], diff=diff(a, 2))
d$br <- 0
for (i in 1:nrow(d)) {
if (i==1 & d$diff[1]==2) {
d$br[1] <- 1
} else if (i==2 & d$diff[2]==2 & d$br[1]!=1) {
d$br[2] <- 1
}
if (d$diff[i]==2 & !any(sum(d$br[c(i-1, i-2)])>0)) d$br[i] <- 1
}
t(sapply(d$a[d$br==1], function(x) (x-2):x))
}
a <- sort(sample(1:30, 20))
# [1] 1 2 3 4 6 10 12 14 15 16 17 18 19 20 21 23 25 27 28 30
getConsec(a)
# [,1] [,2] [,3]
# [1,] 1 2 3
# [2,] 14 15 16
# [3,] 17 18 19
4
solved extracting exact number of rows from a list [closed]