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POReshaping data into panel format in R
 

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  1. POReshaping data into panel format in R
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    <p>I have a quite long and (for me) complex question. I have voting data from the Council of the European Union, where the voting behaviour for each country has been coded according to a nominal scale:</p> <pre><code>0: yes 1: no 2: Abstention 3: no with a negative statement 4: Abstention with a negative statement 5: yes with a negative statement </code></pre> <p>The data is in the following format (see the end of the post for a dump of 20 observations from the data set):</p> <pre><code>Country1 Country2 Country3 ... Date 1 0 0 ... 2004-12-12 1 2 0 ... 2003-02-14 2 0 1 ... 2004-05-22 ... ... ... ... ... </code></pre> <p>First of all I would like to aggregate the data into monthly intervals, where for each month we have a sum of how many 0,1,2 etc there were for each country. Ideally the data should look like this:</p> <pre><code>Month Country sum of 0s sum of 1s Sum of 2s January Country1 2 0 1 January Country2 4 0 0 ... ... ... ... ... </code></pre> <p>Once this has been done I would like to put the data into panel format like this:</p> <pre><code>Country Month sum of 0s sum of 1s sum of 2s Country1 January 2 0 1 Country1 February 0 1 3 ... ... ... ... ... Country2 January 4 0 0 Country2 February 2 2 0 ... ... ... ... ... </code></pre> <p>I am sorry if this is a very time consuming question, but I have been playing around with aggregate, by and different apply functions forever, without being able to get the desired result. Any help will be greatly appreciated!</p> <p>20 observations from the data set (output from the dput() function):</p> <pre><code> structure(list(Recitals = c(29L, 13L, 2L, 20L, 10L, 18L, 29L, 6L, 4L, 16L, 7L, 6L, 12L, 23L, 6L, 10L, 2L, 6L, 9L, 8L, 7L), Voting_Rule = structure(c(4L, 4L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 4L, 5L, 4L, 4L, 4L), .Label = c("0", "Qualified Majority", "Simple Majority", "Unanimity", "Qualified majority", "Simple majority"), class = "factor"), Belgium = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Denmark = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Czech.Republic = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Germany = c(0L, 0L, 0L, 0L, 0L, 4L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Estonia = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L ), Greece = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Spain = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), France = c(0L, 0L, 0L, 3L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Ireland = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Italy = c(0L, 0L, 0L, 0L, 0L, 0L, 5L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Cyprus = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Latvia = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Lithuania = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Luxembourg = c(0L, 0L, 0L, 0L, 0L, 4L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Hungary = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L ), Malta = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Netherlands = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Austria = c(0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L ), Poland = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Portugal = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Slovenia = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L ), Slovakia = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Finland = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Sweden = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), UK = c(0L, 0L, 0L, 0L, 0L, 0L, 5L, 0L, 0L, 0L, 5L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), Dates = structure(c(12716, 12716, 12716, 12674, 12674, 12698, 12705, 12724, 12738, 12738, 12716, 12741, 12744, 12754, 12754, 12758, 12758, 12758, 12759, 12759, 12759), class = "Date")), .Names = c("Recitals", "Voting_Rule", "Belgium", "Denmark", "Czech.Republic", "Germany", "Estonia", "Greece", "Spain", "France", "Ireland", "Italy", "Cyprus", "Latvia", "Lithuania", "Luxembourg", "Hungary", "Malta", "Netherlands", "Austria", "Poland", "Portugal", "Slovenia", "Slovakia", "Finland", "Sweden", "UK", "Dates"), row.names = c(752L, 753L, 762L, 774L, 775L, 776L, 777L, 780L, 789L, 790L, 793L, 794L, 797L, 816L, 817L, 818L, 819L, 820L, 824L, 825L, 826L), class = "data.frame") </code></pre>
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    1. USThomas Jensen
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