If your grouping is a list, then you can use 'sapply'; e.g.,
sapply(yourRanking, function(x) sum(x$rank)) # or whatever you want the sum of.
On Sun, Nov 9, 2008 at 4:00 PM, Swanton0822 <[EMAIL PROTECTED]> wrote:
>
> Hi,
> i have group all the data, but now if i would want to sum all the rank in
Hi,
i have group all the data, but now if i would want to sum all the rank in
each group, how can i do it?
ie. i want to sum the rank in every group, not total. so there will be a sum
of rank for month Jan,Feb,.Dec, therefore there will be total of 12
vaule of ranking sum.
many thanks,
--
Vie
A very simple but long way to do this would be to subset your data set. There
are better ways but this way would be easy to understand.
January <- subset(mydata, Month=="January")
Repeat for each month.
--- On Fri, 11/7/08, Swanton0822 <[EMAIL PROTECTED]> wrote:
> From: Swanton0822 <[EMAIL PR
. http://www.nabble.com/file/p20392420/kew.dat kew.dat
Hi,
i did something wrong,
with the data attach all i want is 12 groups for the months like this:(group
1=group Jan,..group12= group Dec)
group 1 group 2 group 3.. group 12
and inside each group is the vaule of t
If you provide the input and the expected output, it would help a lot.
You could use 'split' to partition the data
monthly <- split(yourDF, yourDF$month)
but I am still not sure exactly what you want to do with it, or the
format that you are expecting.
On Fri, Nov 7, 2008 at 6:03 PM, Swanton082
hi friend,
this is from your previous posts on Kruskal-Wallis test:)
i came up with this one:
A5 <- read.table('kew.dat' ,header=TRUE)
plot(factor(A5$Month, levels=month.abb), A5$Rain)
is that what you want?
On Sat, Nov 8, 2008 at 7:03 AM, Swanton0822 <[EMAIL PROTECTED]> wrote:
>
> Hi.
> i hav
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