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Home/ Questions/Q 6714669
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Editorial Team
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Editorial Team
Asked: May 26, 20262026-05-26T08:31:21+00:00 2026-05-26T08:31:21+00:00

I am working with xts or data.frame objects and require a simple means to

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I am working with xts or data.frame objects and require a simple means to roll up data that is of 1 minute intervals into 15 minute, hourly, etc…

I realize that there are the to.period methods but my issue is that my columns are non OHLC columns so they are getting dropped when calling to.period.

My data has three columns: POSIXct, SomeVar, AnotherVar.

I need the ability to convert up this data and while doing so either sum up my data columns or take then max. Very similar to how to.period works, but with columns that are named differently. Also, my column data is sometimes factor rather than numeric so it would be ideal if this could handle the conversion as well (when calculating).

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  1. Editorial Team
    Editorial Team
    2026-05-26T08:31:22+00:00Added an answer on May 26, 2026 at 8:31 am

    Use period.apply (or apply.daily, apply.weekly, etc.) with your own custom function. Something like:

    library(quantmod)
    getSymbols("SPY")
    myFun <- function(x) c(Low=min(Lo(x)),Vol=sum(Vo(x)))
    out <- period.apply(SPY, endpoints(SPY,"years"), myFun)
    #               Low         Vol
    # 2007-12-31 136.75 39313707500
    # 2008-12-31  74.34 75960174800
    # 2009-12-31  67.10 62061939800
    # 2010-12-31 101.13 52842325500
    # 2011-10-10 107.43 42314587300
    
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