September 2017
Beginner to intermediate
560 pages
25h 18m
English
book
R Data Analysis Cookbook, Second Edition - Second Edition
by Kuntal Ganguly, Davor Lozić, Mzabalazo Z. Ngwenya, Andrew Bauman, Shanthi Viswanathan, Viswa Viswanathan
Content preview from R Data Analysis Cookbook, Second Edition - Second Edition
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Identifying duplicates without deleting them
For this, use the duplicated() function:
> duplicated(prospect) [1] FALSE FALSE FALSE FALSE TRUE FALSE TRUE
From the data, we know that cases 2, 5, and 7 are duplicates. Note that only cases 5 and 7 are shown as duplicates. In the first occurrence, case 2 is not flagged as a duplicate.
To list the duplicate cases, use the following code:
> prospect[duplicated(prospect), ] salary family.size car 5 30000 3 Compact 7 30000 3 Compact
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