Works !! thanks On 05/20/2011 12:08 PM, Dennis Murphy wrote:
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<[email protected]> 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 ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
