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Hi Well, I think the title says it all!? I've looked through the documentation but I can't find a way of doing this.? The situation is that I have 4 series, say a, b, c and d.? Series a and c are plotted on the lh y axis, series b and d are plotted on the rh (secondary) y axis.? I've worked out how to do this. However, I need to plot series a and b a points (symbols only, no line),

Hi I am trying to carry out some maximum likelihood estimation and I'm not making much headway, and I'm hoping that someone will be able to point me in the right direction. I am modelling mortality statistics. One way to do this is to model the mortality rate (or, more accurately, log of the mortality rate, log_m) as (say) a constant plus a proportion of age, plus time, so: r_1 <-

Hi I'm sure this is straightforward, but I can't find an answer. I'm trying to find the function that returns the number of dependent variables/rank of the regression/degrees of freedom/something similar. Any ideas? Thanks! Paul [[alternative HTML version deleted]]

Hi I am carrying out some logit regressions and want to (a) make sure I'm taking the right approach and (b) work out how to carry out some additional analysis. So, to carry out a logit regression where the dependent variable is a factor db, I use something like: res1_l <- glm(formula = db ~ y1 + + y5, family = binomial(link = "logit")) summary(res1_l) ...which is, I hope