Trying to join 2 dataframes according to multiple conditions and time interval condition like in the following example:
# two sample dataframes with time intervals
df1 <- data.frame(key1 = c("a", "b", "c", "d", "e"),
key2 = c(1:5),
time1 = as.POSIXct(hms::as.hms(c("00:00:15", "00:15:15", "00:30:15", "00:40:15", "01:10:15"))),
time2 = as.POSIXct(hms::as.hms(c("00:05:15", "00:20:15", "00:35:15", "00:45:15", "01:15:15")))) %>%
mutate(t1 = interval(time1, time2)) %>%
select(key1, key2, t1)
df2 <- data.frame(key1 = c("b", "c", "a", "e", "d"),
key2 = c(2, 6, 1, 8, 5),
sam1 = as.POSIXct(hms::as.hms(c("00:21:15", "00:31:15", "00:03:15", "01:20:15", "00:43:15"))),
sam2 = as.POSIXct(hms::as.hms(c("00:23:15", "00:34:15", "00:04:15", "01:25:15", "00:44:15")))) %>%
mutate(t2 = interval(sam1, sam2)) %>%
select(key1, key2, t2)
The first thing that needs to correspond are columns key1 and key2, and that can be done with the following (produces error):
df <- inner_join(df1, df2, by = c("key1", "key2"))
But there is one more condition that needs to be checked when joining and that is if the interval t2 is within t1. I can do this manually like this:
df$t2 %within% df$t1
I guess the error is from joining dataframes with intervals and this might not be the right way to do it which is why there are errors.
# desired dataframe
df <- data.frame(key1 = c("a", "b"), key2 = c(1,2), time_condition = c(TRUE, FALSE))
If the t1 is from "00:00:15" to "00:05:15" then the corresponding t2 which is "00:03:15" to "00:04:15" is going to be within the interval t1. This would result in the time_condition column which will be TRUE if t2 is within t1, and FALSE otherwise.
Using data.table, you can perform operations while joining. Here is an example
library(data.table)
df2[df1, # left join
.(time_condition = sam1 > time1 & sam2 < time2), # condition while joining
on = .(key1, key2), # keys
by = .EACHI, # check condition per join
nomatch = 0L] # make it an inner join
# key1 key2 time_condition
# 1: a 1 TRUE
# 2: b 2 FALSE
# your data generated using data.table
df1 <- data.table(key1 = c("a", "b", "c", "d", "e"),
key2 = c(1:5),
time1 = as.ITime(c("00:00:15", "00:15:15", "00:30:15", "00:40:15", "01:10:15")),
time2 = as.ITime(c("00:05:15", "00:20:15", "00:35:15", "00:45:15", "01:15:15")))
df2 <- data.table(key1 = c("b", "c", "a", "e", "d"),
key2 = c(2, 6, 1, 8, 5),
sam1 = as.ITime(c("00:21:15", "00:31:15", "00:03:15", "01:20:15", "00:43:15")),
sam2 = as.ITime(c("00:23:15", "00:34:15", "00:04:15", "01:25:15", "00:44:15")))