search for: interpretede

...uot;l","a"). The problem then is that in the resulting plot it is difficult/impossible to see which plot corresponds to the average and which to the individual profiles. I triedthings like extra arguments lwd=c(1,3) or col=c("blue","red") hoping this would be interpreteded parallely to the type= argument, but no. Like: xyplot(response ~ time|group, repa0, groups=~Participant, type=c("b", "a"), lwd=c(1, 3), ylim=c(0, 10)) and many other variants ... Then I vent for writing my own panel functions: mypanel <- function(x, y, ..., type)...