On Nov 22, 2011, at 12:43 PM, AC Del Re wrote:
Hi,
Is there an easy way to remove dataframe rows without duplicated
values of
a specified column ('id')? e.g.,
dat <- data.frame(id = c(1,1,1,2,3,3), value = c(5,6,7,4,5,4),
value2 =
c(1,4,3,3,4,3))
dat
id value value2
1 1 5 1
one approach is the following:
dat <- data.frame(id = c(1,1,1,2,3,3), value = c(5,6,7,4,5,4),
value2 = c(1,4,3,3,4,3))
ind <- ave(dat$id, dat$id, FUN = length) > 1
dat[ind, ]
I hope it helps.
Best,
Dimitris
On 11/22/2011 6:43 PM, AC Del Re wrote:
Hi,
Is there an easy way to remove dat
Sorry, you need this first:
L <- split(dat, dat$id)
do.call(rbind, lapply(L, function(d) if(nrow(d) > 1) return(d)))
D.
On Tue, Nov 22, 2011 at 10:38 AM, Dennis Murphy wrote:
> Hi:
>
> Here's one way:
>
> do.call(rbind, lapply(L, function(d) if(nrow(d) > 1) return(d)))
> id value value2
> 1.
Hi:
Here's one way:
do.call(rbind, lapply(L, function(d) if(nrow(d) > 1) return(d)))
id value value2
1.1 1 5 1
1.2 1 6 4
1.3 1 7 3
3.5 3 5 4
3.6 3 4 3
HTH,
Dennis
On Tue, Nov 22, 2011 at 9:43 AM, AC Del Re wrote:
> Hi,
>
> Is there an easy
This is ugly, but it gets what you want.
dat[which(dat[,1] %in% unique((dat[duplicated(dat[,1], fromLast = T),
1]))),]
AC Del Re wrote
>
> Hi,
>
> Is there an easy way to remove dataframe rows without duplicated values of
> a specified column ('id')? e.g.,
>
> dat <- data.frame(id = c(1
Hi,
Is there an easy way to remove dataframe rows without duplicated values of
a specified column ('id')? e.g.,
dat <- data.frame(id = c(1,1,1,2,3,3), value = c(5,6,7,4,5,4), value2 =
c(1,4,3,3,4,3))
dat
id value value2
1 1 5 1
2 1 6 4
3 1 7 3
4 2 4 3
5
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