Get rid of rows with duplicate attributes in R

I have a big dataframe with columns such as:

ID, time, OS, IP

Each row of that dataframe corresponds to one entry. Within that dataframe for some IDs several entries (rows) exist. I would like to get rid of those multiple rows (obviously the other attributes will differ for the开发者_开发百科 same ID). Or put different: I only want one single entry (row) for each ID.

When I use unique on the ID column, I only receive the levels (or each unique ID), but I want to keep the other attributes as well. I have tried to use apply(x,2,unique(data$ID)), but this does not work either.

subset(data,!duplicated(data$ID))

Should do the trick

If you want to keep one row for each ID, but there is different data on each row, then you need to decide on some logic to discard the additional rows. For instance:

df <- data.frame(ID=c(1, 2, 2, 3), time=1:4, OS="Linux")
df
  ID time    OS
1  1    1 Linux
2  2    2 Linux
3  2    3 Linux
4  3    4 Linux

Now I will keep the maximum time value and the last OS value:

library(plyr)
unique(ddply(df, .(ID), function(x) data.frame(ID=x[,"ID"], time=max(x$time), OS=tail(x$OS,1))))
  ID time    OS
1  1    1 Linux
2  2    3 Linux
4  3    4 Linux