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POChecking row format of csv
 

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    <p>I am trying to import some data (below) and checking to see if I have the appropriate number of rows for later analysis.</p> <pre><code>repexample &lt;- structure(list(QueueName = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L ), .Label = c(" Overall", "CCM4.usci_retention_eng", "usci_helpdesk" ), class = "factor"), X8Tile = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L), .Label = c(" Average", "1", "2", "3", "4", "5", "6", "7", "8"), class = "factor"), Actual = c(508.1821504, 334.6994838, 404.9048759, 469.4068667, 489.2800416, 516.5744106, 551.7966176, 601.5103783, 720.9810622, 262.4622533, 250.2777778, 264.8281938, 272.2807882, 535.2466968, 278.25, 409.9285714, 511.6635101, 553, 641, 676.1111111, 778.5517241, 886.3666667), Calls = c(54948L, 6896L, 8831L, 7825L, 5768L, 7943L, 5796L, 8698L, 3191L, 1220L, 360L, 454L, 406L, 248L, 11L, 9L, 94L, 1L, 65L, 9L, 29L, 30L), Pop = c(41L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 1L, 1L, 1L, 11L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L)), .Names = c("QueueName", "X8Tile", "Actual", "Calls", "Pop"), class = "data.frame", row.names = c(NA, -22L)) </code></pre> <p>The data gives 5 columns and is one example of some data that I would typically import (via a .csv file). As you can see there are three unique values in the column "<code>QueueName</code>". For each unique value in "<code>QueueName</code>" I want to check that it has 9 rows, or the corresponding values in the column "X8Tile" ( Average, 1, 2, 3, 4, 5, 6, 7, 8). As an example the "<code>QueueName</code>" Overall has all of the necessary rows, but <code>usci_helpdesk</code> does not.</p> <p>So my <strong>first priority</strong> is to at least identify if one of the unique values in "<code>QueueName</code>" does not have all of the necessary rows.</p> <p>My <strong>second priority</strong> would be to remove all of the rows corresponding to a unique "QueueName" that does not meet the requirements. </p>
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