Filter according to the latest data
try this:
x <- read.table(text = " No. Change Date
+ A 123 final 2013-01-15 + B 123 error 2013-01-16 + C 123 'bug fixed' 2013-01-17 + D 111 final 2013-01-12" + , header = TRUE + , as.is = TRUE + )
do.call(rbind, lapply(split(x, x$No.), function(.sec){
+ .sec[which(.sec$Date == max(.sec$Date))[1L], ]
+ }))
No. Change Date
111 111 final 2013-01-12
123 123 bug fixed 2013-01-17
On Fri, Feb 1, 2013 at 3:04 AM, Mat <matthias.weber at fnt.de> wrote:
Hello together,
i have a data.frame, like this one:
No. Change Date
A 123 final 2013-01-15
B 123 error 2013-01-16
C 123 bug fixed 2013-01-17
D 111 final 2013-01-12
and now a want a new data.frame which includes only the newest entry for
each number.
The solution look like this:
No. Change Date
C 123 bug fixed 2013-01-17
D 111 final 2013-01-12
is there any way to filter my data.frame to the latest data, perhabs "max"?
Thanks.
Mat
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