[R] How to selectively sum rows [Beginner question]

[jim holtman]

It would be good to follow the posting guide and at least supply a
sample of the data.

Most likely 'tapply' is one way of doing it:

tapply(df$passenger, list(df$orig, df$dest), sum)

On Mon, Oct 24, 2011 at 11:27 AM, asindc <siirilaa at eastwestcenter.org> wrote:
> Hi, I am new to R so I would appreciate any help. I have some data that has
> passenger flight data between city pairs. The way I got the data, there are
> multiple rows of data for each city pair; the number of passengers needs to
> be summed to get a TOTAL annual passenger count for each city pair.
>
> So my question is: how do I create a new table (or data frame) that
> selectively sums
>
> My initial thought would be to iterate through each row with the following
> logic:
>
> 1. If the ORIGIN_WAC and DEST_WAC pair are not in the new table, then add
> them to the table
> 2. If the ORIGIN_WAC and DEST_WAC pair already exist, then sum the
> passengers (and do not add a new row)
>
> Is this logical? If so, I think I just need some help on syntax (or do I use
> a script?). Thanks.
>
> The first few rows of data look like this:
>
>
>
> --
> View this message in context: http://r.789695.n4.nabble.com/How-to-selectively-sum-rows-Beginner-question-tp3933512p3933512.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at r-project.org mailing list
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?