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POin R sum the number of rows per factor within another factor, and return 0 when 'specific' data is missing
 

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    <p>I'm stuck with a potential issue and I hope you could help me out:)</p> <p>For example i have the following data table that displays multiple stores and every time a visitor entered the store, the time and date is recorded. This implies that every row/line is 1 visitor that entered the one of the stores.</p> <pre><code>data &lt;- structure(list(store.ID = c("1", "1", "1", "1", "1", "2", "2", "2", "2", "2", "3", "3", "3", "3", "3", "4", "4", "4", "4", "4"), Time = structure(c(6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 1L, 2L, 3L, 4L, 5L, 16L, 17L, 18L, 19L, 20L), .Label = c(" 12:09:19", " 12:09:25", " 13:09:30", " 13:09:35", " 14:09:40", " 12:00:03", " 12:00:09", " 12:00:14", " 14:00:25", " 16:00:32", " 12:27:19", " 13:27:25", " 14:27:41", " 14:27:46", " 17:27:59", " 12:46:10", " 12:46:19", " 13:46:29", " 14:46:39", " 15:46:50"), class = "factor"), Date = structure(c(1351728000, 1351728000, 1351728000, 1351728000, 1351728000, 1351814400, 1351814400, 1351814400, 1351814400, 1351814400, 1351814400, 1351814400, 1351814400, 1351814400, 1351814400, 1351814400, 1351814400, 1351814400, 1351814400, 1351814400), class = c("POSIXct", "POSIXt"), tzone = "UTC")), .Names = c("storeID", "Time", "Date"), class = "data.frame", row.names = c(NA, -20L)) </code></pre> <p><strong>[EDIT]</strong> The stores are open 24/7. Now I would like is to have a solution / way that assigns each visit / row to one of the 24 hour periods in a day (i.e., 09.00-10.00 being 1, 10.00-11.00 being 2, etc). Then I would like to have the number of visitors per hour period over two consecutive days. I would like to be able to separate this for certain fixed factors, e.g., storeID and City (not shown in this example). Also, if no visitors enter the store, I would like the data file to show that within this time interval there was no visitor, which should in this case return 0). <strong>[EDIT]</strong></p> <p>Note that my data file is huge, having over 700k rows. </p> <p>I hope I made my issue clear. </p> <p>MvZB</p>
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    1. COHi Arun, I changed it in my original post. Of course it does not necessarily have to be a loop, although this is the only way that I'm familiar with in R to solve these kind of things, with a logical function. Other solutions are more than welcome:)
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    2. COI edited my original post so that it more resembles my data set and what I would like R to accomplish. Help is much appreciated, as I'm lost in the forest. Thanks for the three constructive answers, but independent of what method I use to try to achieve my goal, I get stuck with the fact that I cannot discern between different fixed factors (See edited text in original post). And does this zoo package still work when I have two recordings of visitors entering two different stores at exactly the same time?
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