Hi:
I'm not sure I have the student part right, but here's one way to get
the structure you're looking for with the reshape2 package:
Example:
dat <- data.frame(student = rep(1:10, 3),
val = round(rnorm(30, m = 22.5, s = 3.0), 1),
parm = factor(rep(c('AGE', 'SCHOOL', 'SCORE'), each = 10)))
library(reshape2)
dcast(dat, student ~ parm, value_var = 'val')
student AGE SCHOOL SCORE
1 1 24.9 20.1 19.5
2 2 23.3 23.2 24.1
3 3 22.0 23.5 24.4
4 4 23.3 22.8 23.2
5 5 23.1 25.3 22.4
6 6 22.5 31.4 27.1
7 7 21.8 18.8 24.6
8 8 23.9 23.0 24.8
9 9 25.2 28.0 22.5
10 10 22.8 21.5 21.3
HTH,
Dennis
On Fri, May 20, 2011 at 2:49 AM, David martin <vila...@gmail.com> wrote:
>> str(data)
> 'data.frame': 250 obs. of 3 variables:
> $ student: chr "A" "B" "C" "D" ...
> $ data : num 20.2 20.4 22.5 22.1 23.3 ...
> $ param : Factor w/ 4 levels "AGE","SCHOOL",..: 1 1 1 1 1 1 1 1 1 1
>
>
> Hi , i would like to split the dataframe so that each level of param is a
> column
> At the end it should look like
>
>
> AGE SCHOOL ...
> A 20.2 20.4
> B 22.5 22.1
> C 23.1 24
> D 22 22.8
> ..
>
>
> is i use that contingency table:
> table(data$student,data$param) i will have such a similar table of what i
> want, except that i don't need counts but real data.
>
> How can i split levels of the dataframe into columns ??
>
> thanks
>
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