Message-ID: <CA+8X3fW4nQp9Oo=ej3eWd3nOJB2J6AM7AFU=T1DwggL8B3h98w@mail.gmail.com>
Date: 2017-06-12T07:02:42Z
From: Jim Lemon
Subject: Keep only those values in a row in a data frame which occur only once.
In-Reply-To: <CAC8=1er_BvCWEFjQ6x-8pEfuGiM7G-hDQ3nQW6ZtuNzE3Uz_9g@mail.gmail.com>
Hi Ashim,
One way is this, assuming that your data frame is named akdf:
akdf<-t(apply(akdf,1,function(x) return(unique(x)[1:length(x)])))
If you want factors instead of strings, more processing will be required.
Jim
On Mon, Jun 12, 2017 at 3:23 PM, Ashim Kapoor <ashimkapoor at gmail.com> wrote:
> Dear All,
>
> I have a file data.txt as follows:
>
> Name_1,A,B,C
> Name_2,E,F
> Name_3,I,J,I,K,L,M
>
> I will read this with:
> my_data<- read.csv("data.txt",header=FALSE,col.names=paste0("V",
> seq(1:10)),fill=TRUE)
>
> Then the file will have 10 columns. I am assuming that each row in data.txt
> will have at the max 10 entries.
>
> Note: Here each row will have a different number of columns in data.txt but
> each row will have 10 ( some trailing blank columns ) columns.
>
> My query is how can I keep only the unique elements in each row? For
> example: I want the row 3 to be Name_3,I,J,K,L,M
>
> Please note I don't want the 2nd I to appear.
>
> How can I do this?
>
> Best Regards,
> Ashim
>
> [[alternative HTML version deleted]]
>
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