Try xtabs()
>> df2 = data.frame(ID = c(10,10,10,10,10,11,11,12),Group =
c(1,2,3,4,5,3,4,4),Value = c(10,20,30,40,50,60,70,80))
>> xtabs(df2$Value~df2$ID + df2$Group)
I think this is exactly what you want.
On Fri, Mar 28, 2014 at 4:51 PM, Mat wrote:
> Hello togehter,
>
> i have a litte problem.
He wants a[1] b[1] a[2] b[2] a[3] b[3]
I think you can do:
x = as.vector(rbind(a, b))
On Mon, Mar 24, 2014 at 2:39 PM, Frans Marcelissen <
fransiepansiekever...@gmail.com> wrote:
> Why not simply
>
> > a<-1:3
> > b<-4:5
> > c(a,b)
> [1] 1 2 3 4 5
>
>
> 2014-03-22 23:22 GMT+01:00 Tham Tran :
>
But I don't think a list can contain that much data - we dont know how big
each txt file is.
So I'd like to do:
city.set <- c('Asheville','Charlotte')
month.set <- c('Dec', 'Jan', 'Feb')
comb.set <- expand.grid(city.set,month.set)
comb.set$filename = paste(comb.set[,1],comb.set[,2],sep = '_')
fo
In this calculation:
(dg0%*%t(dx0))
is
[,1] [,2]
[1,]0 -0.75
[2,]0 0.50
So: exp2 = NaN
It is extremely easy to find out the issue if you go back line by line,
this is a basic procedure of debugging. Please do it yourself next time.
On Mon, Jan 13, 2014 at 3:09 PM, IZHAK shabso
Thanks for the illustrative example. In my project actually my supervisor
wanted to estimate the probabilities using a "conditional MLE" approach,
which happens to be the case that *uses clogit() while trying to achieve
aim b in your words*.
I learned that clogit() is based on the sufficient stati
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