Discarding duplicate rows from a data.frame - R

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I am working with the iris data-set:

       Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1          5.1         3.5          1.4         0.2      setosa
2          4.9         3.0          1.4         0.2      setosa
3          4.7         3.2          1.3         0.2      setosa
4          4.6         3.1          1.5         0.2      setosa
5          5.0         3.6          1.4         0.2      setosa
6          5.4         3.9          1.7         0.4      setosa

I would want to discard off those rows where there are duplicated values of  "Sepal.Length" and "Sepal.Width" together or in other words no two rows should have the same "Sepal.Length" and "Sepal.Width" values.

May 4, 2018 in Data Analytics by nirvana
• 3,120 points
104 views

1 answer to this question.

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You can use distinct() function along with %>% to remove duplicate rows:

iris %>% distinct(Sepal.Length, Sepal.Width, .keep_all = T)->iris_1

With the above command, we are filtering out those rows which would have the same values for "Sepal.Length" and "Sepal.Width".

answered May 4, 2018 by Bharani
• 4,580 points

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