Dear Sir,
Thanks a lot for your wonderful solution. When I applied it my data.frame,
however, it was deleting many other columns also having repeated type of column
names i.e. suppose I wanted only to delete say ABC.1, ABC.2 etc. and retain
XYZ, XYZ.1, XYZ2 etc. But this was not happening and alongwith ABC series, it
was deleting XYZ series too. So I changed the command you had given as -
df[ -grep( "\\.", names( df))] to
df[ -grep( "XYZ\\.", names( df))]
And it lead me to the desired result.
Thanks again sir.
Regards
Katherine
--- On Thu, 28/3/13, Gerrit Eichner <gerrit.eich...@math.uni-giessen.de> wrote:
From: Gerrit Eichner <gerrit.eich...@math.uni-giessen.de>
Subject: Re: [R] How to delete Identical columns
To: "Katherine Gobin" <katherine_go...@yahoo.com>
Cc: r-help@r-project.org
Date: Thursday, 28 March, 2013, 8:58 AM
Hi, Katherine,
IF the naming scheme of the columns of your data frame is consistently
<stringwithoutdot> and <stringwithoutdot.number> if duplicated columns
appear THEN (something like)
df[ -grep( "\\.", names( df))]
could help. (But it's maybe more efficient to avoid - a priori - producing
duplicated columns, if the data frame is large, as you say.)
Regards -- Gerrit
On Thu, 28 Mar 2013, 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).
>
>
> Regards
>
> Katherine
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