search for: gapsize

Dear all: I have the following codes: Xdata<-c(2,3,8,9,10) Ydata<-1:5 gap.plot(Xdata, Ydata,gap=c(5,6),gap.axis="x",type="o") However, the type='o' seems only work on the first part of gap plot, the second half of the plot always just points, you can not add lines on that part, any help will be highly appreciated. I would like to have these two parts of

...riginal from the R Book: http://books.google.com/books?id=8D4HVx0apZQC&lpg=PA799&ots=rQgd_8ofeS&dq=r%20coxph%20crawley&pg=PA799#v=onepage&q&f=false --------------------------------- My result: > summary(model1) Call: coxph(formula = Surv(death, status) ~ strata(cohort) * gapsize, data = seedlings) n= 60, number of events= 60 coef exp(coef) se(coef) z Pr(>|z|) gapsize -0.001893 0.998109 0.593372 -0.003 0.997 gapsize:strata(cohort)cohort=September 0.717407 2.049112 0.860807...

...oes not seem to be that simple as I cannot find any solution/answer: Is it possible to compare multiple survival curves in R with survdiff-function when there is interaction term involved in predictor variables (and this interaction is significant)? Example: survdiff(Surv(death,status)~treatment*gapsize) R is making "problems" with it ie.e. it does not want to perform the test. And all the examples I have found so far, may involve multiple predictor variables but in additive format (e.g. treatment+gapsize). If survdiff is not the way to go, are there any other solutions in order to com...

Dear R- list, I have some data to present with histograms. Therefore I used hist(...). I have few values with almost 80% of the frequencies (totaly 800) and some other values with low frequencies ( totaly 5 -10 ) that I want to emphasize. Therefore I want to "cut" the y-axis on 100, but I don't know how to deal with this. Thanks in advance, Michael Graber