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...ear, random=~1|id2, data=pheno2, correlation=corARMA(value=0.2, form=~year|id2), na.action=na.omit) But I get the following error message: Error in getGroupsFormula.default(correlation, asList = TRUE) : "Form" argument must be a formula I have used this same form argument with differerent correlation structures and it has worked fine. Does anyone know why it won't recognise ~year | id2 (or even ~ 1 | id2) as a formula? Any help would be great Pam -- Pamela A McCaskie BSc(Mathematical Sciences)(Hons) Western Australian Institute for Medical Research University of Western Au...

Hi there, I trying to solve this problem for the whole day not going anywhere, so I really hope maybe somebody can help me in this community... I've got an object coefficient2 which I want to plot in differerent ways, with colors and labels added to the points, but somehow there seems to be a problem if a value is NA within the independent variable, resulting in false labels and false colors for the points. plot(coefficient2$intercept ~ coefficient2$average_height, main="intercepts ::: height",...

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dear listers, I use gam (from mgcv) for evaluation of shape and strength of relationships between a response variable and several predictors. How can I interpret the 'F' values viven in the GAM summary? Is it appropriate to treat them in a similar manner as the T-statistics in a linear model, i.e. larger values mean that this variable has a stronger impact than a variable with smaller F?

...e what `impact' means if judged this way). These gam > F statistics are only meant to provide a rough and ready means of judging > approximate significance of terms, and I'm unsure about interpreting a > comparison of such F ratios: for example the F statistics can be based on > differerent numbers of degrees of freedom, depending on the term concerned... > > > When I run my analysis for two different response varables (but identical > > predictors), is there a way to compare the F values among tests (like to > > standardize them by teh sum of F within each test?)...