Dear Arun,
Thanks a lot for the time and help.
Cheers,
Swagath
On 12/26/12 6:24 AM, arun wrote:
Hi,
You can do this either by:
with(data1,aggregate(y,by=list(x),function(x) x)) #2nd column is a list here
#or
res1<-split(seq(nrow(data1)),data1$x)
#or
res1<-tapply(data1$y,list(data1$x),function
Hi,
You can do this either by:
with(data1,aggregate(y,by=list(x),function(x) x)) #2nd column is a list here
#or
res1<-split(seq(nrow(data1)),data1$x)
#or
res1<-tapply(data1$y,list(data1$x),function(x) x)
res2<- t(sapply(res1,`[`,1:max(sapply(res1,length
res2[cbind(c(rep(8,4),rep(9,4)),c(1:4,1:
On Dec 25, 2012, at 9:52 AM, Swagath wrote:
Dear all...Merry Christmas
I would like to split a long dataframe. The dataframe looks like this
x<-c('0:00:00', '0:30:00', '1:00:00', '1:30:00', '2:00:00',
'2:30:00', '3:00:00', '0:00:00', '0:30:00', '1:00:00', '1:30:00',
'2:00:00', '2:30:00',
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