This is great!
Thank you so much.


On Tue, Aug 27, 2013 at 3:06 PM, arun <smartpink111@yahoo.com> wrote:

> Hi,
> May be this helps:
> dat1<- read.table(text="
> id    user    action
> 1      12      login
> 2      12      view
> 3      12      view
> 4      12      view
> 5      12      login
> 6      12      view
> 7      12      view
> 8      12      login
> ",sep="",header=TRUE,stringsAsFactors=FALSE)
>
>
> split(dat1,cumsum(dat1$action=="login"))
> #$`1`
>  # id user action
> #1  1   12  login
> #2  2   12   view
> #3  3   12   view
> #4  4   12   view
> #
> #$`2`
>  # id user action
> #5  5   12  login
> #6  6   12   view
> #7  7   12   view
> #
> #$`3`
>  # id user action
> #8  8   12  login
> A.K.
>
>
>
> ----- Original Message -----
> From: srecko joksimovic <sreckojoksimovic@gmail.com>
> To: R-help@r-project.org
> Cc:
> Sent: Tuesday, August 27, 2013 3:29 PM
> Subject: [R] Iterate over rows and update values based on condition
>
> Hi,
>
> I have a data set with structure similar to this:
> id    user    action
> 1      12      login
> 2      12      view
> 3      12      view
> 4      12      view
> 5      12      login
> 6      12      view
> 7      12      view
> 8      12      login
>
> I want to create a list of sessions. That means to split table on every
> occurrence of "login". Using Java (or some other language), I would
> probably iterate through rows and create new List instance on every
> "login", but I guess there is more efficient way to do that using R?
>
> Thanks
>
>     [[alternative HTML version deleted]]
>
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>
>

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