I have a data.frame with start and end time:
ranges<- data.frame(start = c(65.72000,65.72187, 65.94312,73.75625,89.61625),stop = c(79.72187,79.72375,79.94312,87.75625,104.94062))
> ranges
start stop
1 65.72000 79.72187
2 65.72187 79.72375
3 65.94312 79.94312
4 73.75625 87.75625
5 89.61625 104.94062
In this example, the ranges in row 2 and 3 are entirely within the range between 'start' on row 1 and stop on row 4. Thus, the overlapping ranges 1-4 should be collapsed to one range:
> ranges
start stop
1 65.72000 87.75625
5 89.61625 104.94062
I tried this:
mdat <- outer(ranges$start, ranges$stop, function(x,y) y > x)
mdat[upper.tri(mdat)|col(mdat)==row(mdat)] <- NA
mdat
And now I just need to figure out how to combine all the true ones, but not sure if it's the best way to go
You can try this:
library(dplyr)
ranges %>%
arrange(start) %>%
group_by(g = cumsum(cummax(lag(stop, default = first(stop))) < start)) %>%
summarise(start = first(start), stop = max(stop))
# A tibble: 2 × 3
# g start stop
# <int> <dbl> <dbl>
#1 0 65.72000 87.75625
#2 1 89.61625 104.94062