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2002 May 11
2
modelling a particular design
...r variables (covariates) were also measured: x & z, and both do presumably exert an effect on y. At some cutoffs, x can also be trichotomized into 3 ordinal levels constituting a presumed factor (fx) influencing the level of y at all of the different measurings (1-4). x and fx are rather stable arcoss the 4 measurements whereas z is not. H0 is that x and fx are not influencing the level of y (i.e. explaining any variance of y) irrespective of (i.e. controlled for) z at any of the measurements. (1) What would be a good way of testing for the hypothesis in the context of a GLM or a canonical regr...
2002 Nov 05
1
graphics display problem
Hello all, I come arcoss a problem that has to do with graphics display in my machine (Redhat 7.35). This is what I did. I asked R to do multiple linear regression by: amodel<-lm(dat[,4]~dat[,1]+dat[,2]+dat[,3]) plot(amodel) and I got only one figure (residuals vs. the fitted; instead of several plots), and...