I try to remember that timevar defines the wide columns you want and v.names the values in the body of the table - but I always forget next time I need to use reshape :)
On 28 September 2010 12:55, Toby Gass <[email protected]> wrote: > That does work, thank you. I didn't understand that the "fame" > column would be the time varying column. > > Toby > > On 28 Sep 2010 at 12:47, Michael Bedward wrote: > >> Hi Toby, >> >> I think this should work... >> >> reshape(dat, v.names=c("weight"), idvar=c("valley", "plot", "trt"), >> timevar="fame", direction="wide") >> >> Michael >> >> >> On 28 September 2010 12:17, Toby Gass <[email protected]> >> wrote: >> > Hello, helpeRs, >> > >> > I've been trying, unsuccessfully, to change a dataframe from long to >> > wide format using reshape (the original). I would appreciate it if >> > someone could demonstrate the correct syntax. The script below will >> > create a toy example. The new wide data should have a column name >> > for each unique entry in the "fame" column. Under each column >> > should be either the appropriate weight or na, if there is no match. >> > Thus, the end product should have column names: >> > >> > valley plot trt 18w 16iso 12:0, etc. >> > >> > Here is the toy script for the starting data in long form: >> > >> > dat <- data.frame(fame = gl(4,1,10, labels = c( "18w", "16iso", >> > "12:0", "16w")), valley = gl(2,6,10, labels = c("H", "M")), plot = >> > gl(5, 2, 10), trt = gl(2,1,10, labels = c("e", "g")), weight = >> > 1000*runif(10, 0, 1)) >> > >> > Thank you for your assistance. >> > >> > Toby >> > >> > ______________________________________________ >> > [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.
