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...columns: ex: dat$cX<-scale(as.numeric(dat$X),center = TRUE, scale = FALSE) dat$cY<-scale(as.numeric(dat$Y),center = TRUE, scale = FALSE) and compare the lme of centred model ran on cX and cY with the non-centred model run on X and Y: centred.model <- lmer(quest.ACC~1+cX*cY+(1|Subject)+(1|SetNo),data=dat.Transfer,family='binomial') non.centred.model<- lmer(quest.ACC~1+X*Y+(1|Subject)+(1|SetNo),data=dat.Transfer,family='binomial') I find that the two models give very different results not only for the intercept of the fixed effect effects (which I can understand), but a...

I am trying to create a plot title in R with substitution by a numeric variable (Figure number N) within the text which is bold and has a subcripted part as well. Here is what I have: title <- expression(bold(paste("Figure ", N, ": Plot ", C[max], " versus CrCL"))) plot(1, main="") # Simple plot for testing N <- 5 mtext(title, line=3, font=2,

...) and then estimate survival based on the model. The data came from Prof Bryan Langholz website where he also has the SAS code to this, so I am trying to replicate the SAS results. The data attached. Basically, the variables are: rstime: risk set age rsentry: fake entry time, just before rstime setno: risk set identifier cc: lung cancer death (0/1) cr500: independent variable 1 (0/1), cumulative radon > 500WLM smoke25: independent variable 2 (0/1), 1/2+ pack/dat at age 25 logw: weight to be used as an offset in the model rstime2: indicator variable to indicate whether age is below 50, 50-69...