Thanks. Yes, I got it to work with loops for small data. I was just hoping,
given the size of the data.frame (hundreds of thousands) and the length of the
lists (varying up to a few hundred) to avoid that if at all possible. Perhaps
I'm expecting some behavior that's not feasible?
cheers,
jimi
On 09Aug, 2012, at 17:39 , arun wrote:
> HI,
>
> In the reply I sent, I forgot to add,
>
> anew<-list()#before,
> for(i in 1:length(b1)){
> anew[[i]]<-list()
> anew[[i]]<-b1[[i]]-c[[i]]
> }
>
> A.K.
>
> ----- Original Message -----
> From: jimi adams <jad...@american.edu>
> To: r-help@r-project.org
> Cc:
> Sent: Thursday, August 9, 2012 4:42 PM
> Subject: [R] indexing in data frames
>
> I'm still not fully understanding exactly how R is handling data frames, but
> am getting closer. Any help with this one will likely go a long way in
> getting me there. Let's say I have a data frame, let's call it "a". Within
> that data frame i have two variables, let's call them "b" and "c", where "b"
> is a single numeric value per observation, while "c" is a LIST of numeric
> values. What I want to be able to do is perform an operation on each element
> in "c" by the single element in "b".
>
> So, for example, if I wanted to subtract each element in "c" from the scalar
> in "b". For example, if i had
>
>> a$b
> [1] 1988
> [2] 1989
> …
> &
>> a$c
> [[1]]
> [1] 1985 1982 1984
> [[2]]
> [1] 1988 1980
> …
>
> I'm looking for a result of:
> a$new
> [[1]]
> [1] 3 6 4
> [[2]]
> [1] 1 9
> …
>
> I've tried a few different things, none of which have the desired result. Any
> help appreciated.
> thanks!
>
> jimi adams
> Assistant Professor
> Department of Sociology
> American University
> e: jad...@american.edu
> w: jimiadams.com
>
> ______________________________________________
> R-help@r-project.org mailing list
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>
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