I have a problem. i want to delete some rows from the large data set. The problem is I have data of every 30 sec but I only want to go up to per minute. So, I want to remove the rows which have 30 sec init. for better understanding, I am attaching an example with the expected outcome that I want.
time value
2021-11-04 05:57:00 0.0
2021-11-04 05:57:30 0.0
2021-11-04 05:58:00 0.0
2021-11-04 05:58:30 0.0
2021-11-04 05:59:00 0.0
2021-11-04 05:59:30 0.0
2021-11-04 06:00:00 0.0
2021-11-04 06:00:30 0.0
2021-11-04 06:01:00 0.0
2021-11-04 06:01:30 0.0
2021-11-04 06:02:00 0.0
2021-11-04 06:02:30 0.0
2021-11-04 06:03:00 0.0
2021-11-04 06:03:30 0.0
2021-11-04 06:04:00 0.0
2021-11-04 06:04:30 0.0
2021-11-04 06:05:00 0.0
2021-11-04 06:05:30 0.0
2021-11-04 06:06:00 0.0
2021-11-04 06:06:30 0.0
2021-11-04 06:07:00 0.0
2021-11-04 06:07:30 0.0
what I want to be like that
time value
2021-11-04 05:57:00 0.0
2021-11-04 05:58:00 0.0
2021-11-04 05:59:00 0.0
2021-11-04 06:00:00 0.0
2021-11-04 06:01:00 0.0
2021-11-04 06:02:00 0.0
2021-11-04 06:03:00 0.0
2021-11-04 06:04:00 0.0
2021-11-04 06:05:00 0.0
2021-11-04 06:06:00 0.0
2021-11-04 06:07:00 0.0
every row with 30 sec init should be deleted from the data set.
You can first truncate the time and then remove duplicates. Since the 30 second elements are the non-unique elements, they get removed:
library(xts)
xts3 <- xts(x=rnorm(10), order.by=as.POSIXct(strptime("2021-11-04 05:57:00", "%Y-%m-%d %H:%M:%S")+1:10*30), born=as.POSIXct("1899-05-08"))
# Round observations in z to the next hour
index(xts3) <- as.POSIXct(trunc(index(xts3), units="mins"))
# Remove duplicate times in z
xts3_dup <- make.index.unique(xts3, drop = TRUE)
xts
2021-11-04 05:57:00 -0.19766541
2021-11-04 05:58:00 -0.00902353
2021-11-04 05:58:00 -2.56173420
2021-11-04 05:59:00 0.64355622
2021-11-04 05:59:00 -0.18794658
2021-11-04 06:00:00 0.03005718
2021-11-04 06:00:00 0.64367384
2021-11-04 06:01:00 0.74716446
2021-11-04 06:01:00 -0.29986731
2021-11-04 06:02:00 -0.57503711
> xts3_dup
[,1]
2021-11-04 05:57:00 -0.19766541
2021-11-04 05:58:00 -0.00902353
2021-11-04 05:59:00 0.64355622
2021-11-04 06:00:00 0.03005718
2021-11-04 06:01:00 0.74716446
2021-11-04 06:02:00 -0.57503711