search for: ticksize

I have two .txt files with lists of generated data I want to plot them on the same histogram. I'm aware of the histbackback function, but that is not really what I am looking for, I just want them on the same histogram but so they are still grouped separately (different colours, different norm curves etc). Does anyone know how to do this? Thank you. [[alternative HTML version deleted]]

...365.25, type = "l", ylim = c(0, 2), xlab = "age", ylab = "expected lifetime (years)") lines(0:82, exp(zz$fit+1.96*zz$se.fit)/365.25, lty = 3, col = 2) lines(0:82, exp(zz$fit-1.96*zz$se.fit)/365.25, lty = 3, col = 2) rug(Aidsp$age + runif(length(Aidsp$age), -0.5, 0.5), ticksize = 0.015) Is it possible to achieve something similar with a Cox model instead? Is there a more detailed explanation of the "type" option for predict.coxph than what's in the help of predict.coxph? e.g. type=c("lp", "risk", "expected", "terms&quot...

Hi! (a complete newby, but will not give up easily!) I was wondering if there is any way to decouple the axis and tick mark widths? As I understand they are both controlled by the lwd setting, and cannot be controlled independently? For example I might want to create major and minor ticks, which I now know how to do by superimposing two axes with different at settings, but what if I also wanted

...almost the same mean: myModel$parameters$mean 1 2 3 4 52.33903 52.33948 57.14263 68.54754 Graphically, I don't see a reason for the distribution with mean=52.33903 to be there: hist(my.data, breaks=99, freq=F, main="", border=grey(0.5)) rug(my.data, ticksize = 0.01, quiet = TRUE) newx <- seq(from = min(my.data), to = max(my.data), length = 500) Dens <- dens(modelName = myModel$modelName, data = newx, parameters = myModel$parameters) lines(newx, Dens, col="blue") Do you know why I get this first distribution with no member? Tha...