Apr 13, 2015 Thanks, but I'm not sure how to code the recognition and deletion of a duplicate variable. The list is guaranteed to have a duplicate value because populating it with random numbers 1-10, 15 times will inevitably result in repeat values. The question is how to declare that. Aug 21, 2016 / How to Let Go of Clutter in 5 Easy Steps. How to Let Go of Clutter in 5 Easy Steps. All Archives, Cleaning, Organization August 21, 2016. Get rid of duplicates.
A very useful application of subsetting data is to find and remove duplicate values. R has a useful function, duplicated(), that finds duplicate values and returns a logical vector that tells you whether the specific value is a duplicate of a previous value. This means that for duplicated values, duplicated() returns FALSE for the first occurrence and TRUE for every following occurrence of that value, as in the following example:
If you try this on a data frame, R automatically checks the observations (meaning, it treats every row as a value). So, for example, with the data frame iris:
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If you look carefully, you notice that row 143 is a duplicate (because the 143rd element of your result has the value TRUE). You also can tell this by using the which() function:
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Now, to remove the duplicate from iris, you need to exclude this row from your data. Remember that there are two ways to exclude data using subsetting:
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In both cases, you’ll notice that your instruction has removed row 143.
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