On 2/7/2008 11:40 AM, Don MacQueen wrote: > Hello, > > I am having difficulty figuring out how to use functions in the > reshape package to perform a wide to long transformation > > I have a "wide" dataframe whose columns are like this example: > > id1 id2 subject treat height weight age > > id1 and id2 are unique for each row > subject and treat are not unique for each row > height, weight, and age are different types of measurements made on > each unique combination of subject and treatment > > I want to reshape to a long format which will look like this: > > id1 id2 subject treat measurement.type value > > where > > measurement.type identifies the type of measurement, i.e. 'height', > 'weight', 'age' > value contains the values of those measurements > and the other variables are replicated as necessary
Does something like this work for you? df <- data.frame(id1 = c(1,2,3), id2 = c(4,5,6), subject = runif(3), treat = runif(3), height = runif(3), weight = runif(3), age = runif(3)) library(reshape) melt(df, measure.var = c("height","weight","age")) id1 id2 subject treat variable value 1 1 4 0.4736760 0.02221288 height 0.09290354 2 2 5 0.1708840 0.84465476 height 0.70660286 3 3 6 0.6955085 0.56084004 height 0.52761841 4 1 4 0.4736760 0.02221288 weight 0.08853412 5 2 5 0.1708840 0.84465476 weight 0.85745906 6 3 6 0.6955085 0.56084004 weight 0.29902097 7 1 4 0.4736760 0.02221288 age 0.91842595 8 2 5 0.1708840 0.84465476 age 0.93592277 9 3 6 0.6955085 0.56084004 age 0.01587108 > To put it another way, can I use reshape() to transform my original > dataframe, which has 45 rows, into a "long" form that has 3*45 = 135 > rows: 45 rows for height, 45 for weight, 45 for age, with the other > variables carried along as is within each set of 45, and a new > variable that identifies the type of measurement in each row of the > long form, i.e., 'height' in 45 rows, 'weight' in 45 rows, and 'age' > in 45 rows. > > I know it's not difficult to do this with explicit looping, using > rbind(), but it seems like reshape() is a natural tool. But I'm not > getting it, so I'd appreciate some help. > > (in case anyone is wondering whether it makes sense to do this, > height, weight, and age are just examples; it makes more sense with > my actual measurements) > > Thanks > -Don -- Chuck Cleland, Ph.D. NDRI, Inc. 71 West 23rd Street, 8th floor New York, NY 10010 tel: (212) 845-4495 (Tu, Th) tel: (732) 512-0171 (M, W, F) fax: (917) 438-0894 ______________________________________________ R-help@r-project.org 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.