On Mar 28, 2013, at 1:39 AM, Katherine Gobin wrote:
> Dear R forum
>
> Suppose I have a data.frame
>
> df = data.frame(id = c(1:6), x = c(15, 21, 14, 21, 14, 38), y = c(36, 38, 55,
> 11, 5, 18), x.1 = c(15, 21, 14, 21, 14, 38), z = c("D", "B", "A", "F", "H",
> "P"))
>
>
>> df
> id x y x.1 z
> 1 1 15 36 15 D
> 2 2 21 38 21 B
> 3 3 14 55 14 A
> 4 4 21 11 21 F
> 5 5 14 5 14 H
> 6 6 38 18 38 P
>
>
> Clearly columns x and x.1 are identical. In reality, I have a large
> data.frame and can't make out which columns are identical, but I am sure that
> column with name say x is repeated as x.1, x.2 etc.
>
> How to automatically identify and retain only one column (in this example
> column x) among the identical columns besides other non-identical columns
> (viz. id, y and z).
>
> df[!duplicated(as.list(df))]
id x y z
1 1 15 36 D
2 2 21 38 B
3 3 14 55 A
4 4 21 11 F
5 5 14 5 H
6 6 38 18 P
>
> Regards
>
> Katherine
>
> [[alternative HTML version deleted]]
>
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David Winsemius
Alameda, CA, USA
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