Displaying 2 results from an estimated 2 matches for "comm1000".
2012 Apr 06
4
Order sapply
...11
4 9 11-11 1216637080 1216631541 5539 11 11
4 10 11-11 1216646563 1216640763 5800 11 11
4 11 11-11 1216656338 1216651635 4703 11 11
"
df1 <-read.table(textConnection(text), header=TRUE)
inx <- df1$commutation > 1000
comm1000 <- cumsum(inx)
result <- split(df1[!inx, ], list(comm1000[!inx], df1$v_source[!inx],
df1$v_destine[!inx]))
result <- sapply(result, function(x) c(x$val_user[1], x$v_source[1],
x$v_destine[1], nrow(x), mean(x$comm)))
result <- na.exclude(t(result))
rownames(result) <- 1:nrow(result)...
2012 Mar 27
2
R extract parts
Good Afternoon,
I believe that my to the problem, the R has a more effective solution.
in place the use the loop
I have the following set of data, and needs to extract some sections.
user pos communications source v_destine
7 1 109 22 22
7 2 100 22 22
7 3 214 22 22
7 4 322 22 22
7 5 69920 22 161
7 6