On 28-11-2012, at 08:00, Berend Hasselman wrote:
> .
>> I'd like to have R find the data.b$ID in data.a$ID and insert the
>> corresponding data.a$valueA and data.a$valueB into the appropriate
>> columns in data.b.
>>
>> How can I do this?
>
>
> data.b <- data.a[which(data.a$ID %in% data.b$
On 27-11-2012, at 23:17, Steven Ranney wrote:
> All -
>
> I have a data frame
>
> data.a
> IDvalueA valueB
> 6 12 12
> 1715 14
> 5818 16
> 9811 12
> 7319 20
> 8419 14
> 5820 14
> 2411 12
> 8115 16
> 2115
(joins) I think the data.table package is
> much faster.
>
> John Kane
> Kingston ON Canada
>
>
>> -Original Message-
>> From: steven.ran...@gmail.com
>> Sent: Tue, 27 Nov 2012 15:28:57 -0700
>> To: jrkrid...@inbox.com
>> Subject: Re: [R] Fin
:57 -0700
> To: jrkrid...@inbox.com
> Subject: Re: [R] Finding values in one column and
>
> Thanks.
>
> Soon after I posted this question, I discovered merge().
>
> Steven H. Ranney
>
>
> On Tue, Nov 27, 2012 at 3:26 PM, John Kane wrote:
>> Have a look
Hi,
Try ?merge(), ?join() from library(plyr)
data.a<-read.table(text="
ID valueA valueB
6 12 12
17 15 14
58 18 16
98 11 12
73 19 20
84 19 14
58 20 14
24 11 12
81 15 16
21 15 14
62 14 12
67 13 14
78 13 17
35 10
Thanks.
Soon after I posted this question, I discovered merge().
Steven H. Ranney
On Tue, Nov 27, 2012 at 3:26 PM, John Kane wrote:
> Have a look at ?merge
>
> John Kane
> Kingston ON Canada
>
>
>> -Original Message-
>> From: steven.ran...@gmail.com
>> Sent: Tue, 27 Nov 2012 15:17:58 -
Have a look at ?merge
John Kane
Kingston ON Canada
> -Original Message-
> From: steven.ran...@gmail.com
> Sent: Tue, 27 Nov 2012 15:17:58 -0700
> To: r-help@r-project.org
> Subject: [R] Finding values in one column and
>
> All -
>
> I have a data frame
>
> data.a
> IDvalueA value
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