On Jul 7, 2011, at 3:52 PM, xin123620 wrote:
Thank you William Your method does work I highly appreciate
that. :D
Also thank you for replying, David. You are absolutely correct. I
re-edited
my posting to make question clear according to the guidelines in
case other
person meet
Thank you William Your method does work I highly appreciate that. :D
Also thank you for replying, David. You are absolutely correct. I re-edited
my posting to make question clear according to the guidelines in case other
person meet the similar problem as I have.
Thank you,
Jessica
Make factors out of the dayOfYear and HourOfDay
columns and specify the levels you want. Then
pass the factors to tapply.
E.g., you may have something like
> d <- data.frame(Season=c(1,1,3,4),
Type=c(20,15,15,20),
Speed=11:14)
> tapply(d$Speed, d[c("Season","Ty
On Jul 7, 2011, at 3:21 PM, xin123620 wrote:
Dear All,
I am trying to analysis traffic data with one timestamp column and
speed
column. This data set contains six years data; for each year, I want
to make
a matrix in (day of the year) * (hour)
0 1 2 . . . 23
1
2
.
.
365
Howev
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