are
wdunlap tibco.com
> -Original Message-
> From: Peter Ehlers [mailto:ehl...@ucalgary.ca]
> Sent: Friday, August 24, 2012 10:51 AM
> To: William Dunlap
> Cc: Peter Alspach; rjb; r-help@r-project.org
> Subject: Re: [R] Extracting data from dataframe with tied rows
>
>
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf
Of Peter Alspach
Sent: Thursday, August 23, 2012 4:37 PM
To: rjb; r-help@r-project.org
Subject: Re: [R] Extracting data from dataframe with tied rows
Tena koe John
One way:
johnData <
t.org [mailto:r-help-boun...@r-project.org] On
> Behalf
> Of Peter Alspach
> Sent: Thursday, August 23, 2012 4:37 PM
> To: rjb; r-help@r-project.org
> Subject: Re: [R] Extracting data from dataframe with tied rows
>
> Tena koe John
>
> One way:
>
> johnData <-
ames(johnAgg)[3] <- 'distance'
merge(johnAgg, johnData)
HTH
Peter Alspach
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of rjb
Sent: Friday, 24 August 2012 9:19 a.m.
To: r-help@r-project.org
Subject: [R] Extracting da
Hi R help,
I'm a fairly experienced R user but this manipulation has me stumped, please
help:
DATA
id<-rep(LETTERS[1:5],20)
distance<-rnorm(1:100, mean = 100)
bearing<-sample(1:360,100,replace=T)
month<-sample(1:12,100,replace=T)
I have a dataset with records of individuals (id) , each with a di
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