# Get or subset of first 5 minutes of every day of data from xts

I would like a subset of the first 5 minutes of time series data for each day from the detailed data, however the first 5 minutes does not happen at the same time every day, so using something like `xtsobj["T09:00/T09:05"]`

this will not work as the first 5 minutes of changes start. that is, sometimes it starts at 9:20 am or some other random time in the morning instead of 9 am.

So far, I could multiply the first minute for each day using a function like:

```
k <- diff(index(xtsobj))> 10000
xtsobj[c(1, which(k)+1)]
```

i.e. finding gaps in data greater than 10,000 seconds, but going from that to finding the first 5 minutes of each day is more difficult because the data is not always evenly distributed. That is, there can be 2 to 5 lines between the first minute and the 5th minute, and thus use something like:

```
xtsobj[c(1, which(k)+6)]
```

and then binding the results together

not always accurate. I was hoping that a function like "first" could be used, but didn’t know how to do it for a few days, maybe it might be the optimal solution. Is there a better way to get this information?

Many thanks to the stackoverflow community in advance.

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`split(xtsobj, "days")`

will create a list with an xts object for each day.

Then you can apply `head`

to every day

```
lapply(split(xtsobj, "days"), head, 5)
```

or in general

```
lapply(split(xtsobj, "days"), function(x) {
x[1:5, ]
})
```

Finally, you can `rbind`

spend days back if you like.

```
do.call(rbind, lapply(split(xtsobj, "days"), function(x) x[1:5, ]))
```

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How about you use the package `lubridate`

, first find out the starting point every day you think the random case changes and then use the function`minutes`

So it would be something like:

```
five_minutes_after = starting_point_each_day + minutes(5)
```

Then you can use the normal subset `xts`

by doing something like:

```
5_min_period = paste(starting_point_each_day,five_minutes_after,sep='/')
xtsobj[5_min_period]
```

Edit:

@Joshua I think it works, have a look at this example:

```
library(lubridate)
x <- xts(cumsum(rnorm(20, 0, 0.1)), Sys.time() - seq(60,1200,60))
starting_point_each_day= index(x[1])
five_minutes_after = index(x[1]) + minutes(5)
five_min_period = paste(starting_point_each_day,five_minutes_after,sep='/')
x[five_min_period]
```

In my previous example, I made a mistake, I set five_min_period between the quotes. Is that what you pointed to Joshua? Also maybe no starting point is needed, just:

```
until5min=paste('/',five_minutes_after,sep="")
x[until5min]
```

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