Hello, I have written code to plot an xyplot as follows:
library(lattice) xyplot(len~ageJan1|as.factor(cohort),groups=sex,as.table=T,strip=strip.c ustom(bg='white',fg='white'),data=dat, xlab="Age (January 1st)",ylab="Length (cm)",main="Linear models for male and female cod, by cohort",type='p', lwd=1.5,auto.key=list(text=c("Male","Female"),points=F,rectangles=F,line s=T)) I have fitted a linear model to the same data (for each sex in each cohort(year)). I would like to add the fitted models to the existing plot (one line for male and one for female, where each panel is a separate cohort - as in the above code....). I also want to do this with non-linear models if possible. I have trawled R help, and it seems that panel.superpose may be one method of attempting this, however, I am unable to produce any working code. My dataset is too large to put in as an example, but it is in the basic form as below (where sex is 1 for male and 5 for female). len age fitted_model cohort sex 1 24 2 30.05771 1977 1 2 31 3 36.64122 1977 1 3 22 2 27.73938 1978 1 4 34 3 36.64122 1977 1 5 22 2 27.73938 1978 1 6 31 3 36.64122 1977 1 7 34 3 36.64122 1977 1 8 28 2 27.73938 1978 1 9 23 2 27.73938 1978 1 10 24 2 27.73938 1978 1 11 25 2 27.73938 1978 1 Etc... Any suggestions would be greatly appreciated, Thankyou, Lillian. ---------------------- Lillian Sandeman PhD Student Zoology Building University of Aberdeen Tillydrone Avenue Aberdeen Scotland AB24 2TZ Tel.: +44 (0)1224 272395 E-mail: [EMAIL PROTECTED] ______________________________________________ R-help@stat.math.ethz.ch 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.