Hi David,
1) Thanks very much. Your code shows that this was much simpler than I
anticipated.
2) I have made the appropriate changes to email in plain text. My apologies.
Thanks!
Dan
On Wed, Oct 30, 2013 at 1:17 PM, David Winsemius <dwinsem...@comcast.net> wrote:
>
> On Oct 30, 2013, at 4:07 AM, Dan Abner wrote:
>
>> Hi everybody,
>>
>> I have data in the format of the example data below where essentially a
>> large number of indicator variables (coded [0,1]) reflect traits of the
>> same id across multiple rows. I need to represent the data in a 1 row per
>> id format. I see this as being similar to converting from long to wide
>> format, however, there is no time component here: The multiple rows here
>> are all characteristics observed at the same measurement occasion. So,
>> really I just need an individual sum for each variable (for a large number
>> of variables) and for these to be all saved in the same row (along with the
>> id variable and other demographics (e.g., "location").
>>
>> Here is the example df and the method I used first:
>>
>>
>> d1<-data.frame(id=c(1,1,1,2,2,2,2,3,3,4),location=factor(c(rep(0,7),rep(1,3)),
>> labels=c("A","B")),var1=as.logical(round(runif(10))),
>> var2=as.logical(round(runif(10))),var3=as.logical(round(runif(10))))
>> d1
>
> Perhaps.
>
>> mysum<-aggregate(d1[-(1:2)],by=d1[1:2] ,sum)
>> mysum
> id location var1 var2 var3
> 1 1 A 0 2 1
> 2 2 A 1 2 1
> 3 3 B 1 0 2
> 4 4 B 1 1 0
>
>>
>> [[alternative HTML version deleted]]
>
> Please learn to use your mail client to post in plain text. (All of the free
> mailer services support plain text, so continuing to post in HYML is evidence
> of willful refusal to adhere to the posting guidelines.)
>
> --
> David Winsemius
> Alameda, CA, USA
>
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