On 11/17/06, Turgut Durduran <[EMAIL PROTECTED]> wrote: > On 11/17/06, Turgut Durduran <[EMAIL PROTECTED]> wrote: > >> Hello everyone, > >> > >> I am ploting a groupeddata object with formula: > >> > >> formula(mydatausegroup) > >> BF ~ HO | ID/Infar/Day > >> > >> Using this command: > >> plot(na.omit(mydatausegroup), displayLevel=2,layout=c(10,2),aspect=2) > >> > >> > >> This trellis plot does almost what I want and produces a 10x2 trellis > >> plot, each panel is labeled > >> as ID/Infar where infarct is either 1 or 0. And in each panel, it plots BF > >> vs HO for each Day. However, the "days" are labeled simply as "1,2,3,4" > >> i>>nstead of their actual values (ranging from 1 to 8). This just mapped > >> for each ID the "1 st measurement, 2nd measurement, 3rd measurement, 4th > >> >>measurement". > >>
This seems to be intended behaviour, and the responsible function is collapse.groupedData (which is not very transparent to me). > >> How can I get this trellis plot to use 8 different colors and label them > >> correct? I don't see a documented way, so you'll probably need to modify collapse.groupedData -Deepayan > >Hard to say without a reproducible example. As the footer of every > >r-help message says: > > >PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > >and provide commented, minimal, self-contained, reproducible code. > > >-Deepayan > > I apologize, I thought my example was fairly self-contained. > > > I am attaching a sample data table (a subset). This is the code: > > library(nlme) > library(lattice) > tst <- read.table("sil.txt",header=TRUE) > mydatausegroup <- groupedData( BF ~ HO | ID/Infa/Day, data=tst) > plot(na.omit(mydatausegroup), displayLevel=2,layout=c(10,2),aspect=2) > > min(mydatausegroup$Day) > [1] 8 > > min(mydatausegroup$Day) > [1] 1 > > > Note that layout is too large now, but that does not matter. > > Thanks, > > Turgut > ______________________________________________ [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.
