[R] remove duplicated row according to NA condition

[arun]

Hi,
May be this helps:
data1 <- data[with(data, order(col1, col2,1*is.na(col3))),]
 data1[!duplicated(data1[,1:2]),]
A.K.


On Wednesday, May 28, 2014 11:28 AM, jeff6868 <geoffrey_klein at etu.u-bourgogne.fr> wrote:
Hi everybody,

I have a little problem in my R-code which seems be easy to solve, but I
wasn't able to find the solution by myself for the moment.

Here's an example of the form of my data:

data <-
data.frame(col1=c("a","a","b","b"),col2=c(1,1,2,2),col3=c(NA,"ST001","ST002",NA))

I would like to remove duplicated data based on the first two columns
(col1,col2), but in both cases here, I would like to remove the duplicated
row which is equal to NA in col3.

Here's the data.frame I would like to obtain:

data2 <- data.frame(col1=c("a","b"),col2=c(1,2),col3=c("ST001","ST002"))

I've been trying to mix duplicated() with is.na() but it doesn't work yet.

Can someone tell me the best and easiest way to do this?

Thanks a lot!







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