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2011-03-28T22:45:38.170
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2011-03-29T13:35:13.253
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2011-03-29T13:35:13.253
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<p>Here's a zoo/xts solution. Note that <code>Month</code> is numeric here because you can't mix types in zoo/xts objects.</p> <pre><code>require(xts) # loads zoo too Lines1 <- "Date,Outdoor,Indoor 01/01/2000 01:00,30,25 01/01/2000 02:00,31,26 01/01/2000 03:00,33,24 02/01/2000 01:00,29,25 02/01/2000 02:00,27,26 02/01/2000 03:00,39,24 12/01/2000 02:00,27,26 12/01/2000 03:00,39,24 12/31/2000 23:00,28,25" con <- textConnection(Lines1) z <- read.zoo(con, header=TRUE, sep=",", format="%m/%d/%Y %H:%M", FUN=as.POSIXct) close(con) zz <- merge(z, Month=.indexmon(z), OutdoorAVE=ave(z[,1], .indexmon(z), FUN=mean)) zz # Outdoor Indoor Month OutdoorAVE # 2000-01-01 01:00:00 30 25 0 31.33333 # 2000-01-01 02:00:00 31 26 0 31.33333 # 2000-01-01 03:00:00 33 24 0 31.33333 # 2000-02-01 01:00:00 29 25 1 31.66667 # 2000-02-01 02:00:00 27 26 1 31.66667 # 2000-02-01 03:00:00 39 24 1 31.66667 # 2000-12-01 02:00:00 27 26 11 31.33333 # 2000-12-01 03:00:00 39 24 11 31.33333 # 2000-12-31 23:00:00 28 25 11 31.33333 </code></pre> <p>Update: How do get the above result using two different data sets.</p> <pre><code>Lines2 <- "Date,Month,OutdoorAVE 01/01/2000,Jan,31.33 02/01/2000,Feb,31.67 12/01/2000,Dec,31.33" con <- textConnection(Lines2) z2 <- read.zoo(con, header=TRUE, sep=",", format="%m/%d/%Y", FUN=as.POSIXct, colClasses=c("character","NULL","numeric")) close(con) zz2 <- na.locf(merge(z1, Month=.indexmon(z1), OutdoorAVE=z2))[index(z1)] # same output as zz (above) </code></pre>
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1. This table or related slice is empty.
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1. POMerging aggregate data in R
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  PTQuestion
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1. PTAnswer
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1. USJoshua Ulrich
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1. USJoshua Ulrich
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1. COI tried this, but the Month is always 11 for the whole year.
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  USery
2. CO@ery: please see my edit. I'm not sure why Month would always be 11... perhaps your example data and actual data differ?
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  USJoshua Ulrich

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