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library(tidyverse) | |
library(lubridate) | |
## each id is a person, and each row is one episode | |
## the two episode for id 1 overlap! | |
example_dates <- tibble( | |
id = c(1,1,2,2), | |
date_start = ymd(c("2020-01-01", "2020-01-03","2020-04-01", "2020-04-15")), | |
date_end = ymd(c("2020-01-05", "2020-01-10", "2020-04-04", "2020-04-16")) | |
) #%>% | |
#mutate(episode = interval(date_start, date_end)) | |
library(data.table) | |
DT <- setDT(copy(example_dates)) | |
counter <- function(DT, start, stop, id) { | |
DT[, .(start = min(start), | |
stop = max(end)), | |
by=.(id, group=cumsum(c(1, tail(start, -1) > head(end, -1))))] | |
} | |
counter(DT, date_start, date_end, id) | |
# id group start stop | |
# 1: 1 1 2020-01-01 2020-01-10 | |
# 2: 2 2 2020-04-01 2020-04-04 | |
# 3: 2 3 2020-04-15 2020-04-16 | |
# tim taylor data | |
dat <- data.frame( | |
id = c(1,1,2,2,1), | |
date_start = ymd(c("2020-01-01", "2020-01-03","2020-04-01", "2020-04-15", "2020-05-01")), | |
date_end = ymd(c("2020-01-05", "2020-01-10", "2020-04-04", "2020-04-16", "2020-10-01")) | |
) | |
dat <- replicate(125000, dat, simplify = FALSE) | |
dat <- .mapply( | |
FUN = function(x, y) { | |
x$id <- x$id + y | |
x | |
}, | |
dots = list(x = dat, y = seq_len(125000)), | |
MoreArgs = NULL | |
) | |
dat <- rbindlist(dat) | |
res <- counter(dat, date_start, date_end, id) | |
res[id==2] | |
# id group start stop | |
# 1: 2 1 2020-01-01 2020-01-10 | |
# 2: 2 4 2020-05-01 2020-10-01 |
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