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...er the error: "figure margins too large" Even for the below "getting started" example from http://www.ggobi.org/rgtk2/ this is the case. > win = gtkWindow() > da = gtkDrawingArea() > win$add(da) > asCairoDevice(da) [1] TRUE > plot(1:10) Fehler in plot.new() : Grafikr?nder zu gro? > Also enlarging the drawing area does not help. > win = gtkWindow() > da = gtkDrawingArea() > win$add(da) > asCairoDevice(da) [1] TRUE > da$setSizeRequest(700, 700) > plot(1:10) Fehler in plot.new() : Grafikr?nder zu gro? Any ideas? Thanks in advance. --Mar...

Dear all I try to print 9 plots on a page, arranged as the code shows below. nf <- layout(matrix(c(1,0,2,0,0,3,0,4,0,5,0,6,0,0,0,0,7,0,8,9), 10,2)) layout.show(nf) but when I try to plot, an error message Fehler in plot.new() : Grafikr?nder zu gro? appears to verify p.e. with plot(runif(10:1)) i tried with plot(runif(10:1), ann=F) to produce more space, but neither. The second question: how to place a cross in the middle of the plot to delineate in 4 big fields (containing each 5 plots) Thanks a lot -- _________________...

.../Manual.pdf > page 17, if there are many variables (~80) with NAs included? > mice runs well, but the plot is not possible because it seems that there > are too many variables. > > > imp.temp <- mice(data.withnas, m=5) > > plot(imp.temp) > Fehler in plot.new() : Grafikr?nder zu gro? > = error in plot.new(): boundaries of graphics too big/huge > > Is it possible to run the plot() sequentially, so that only a selected > part of the variables are plotted? > Of course I can run mice() on a reduced dataset, but then the > estimations are differe...

Dear all, I try to consider overdispersion in a lmer model. But using family=quasibinomial rather than family=binomial seems to change the fit but not the result of an anova test. In addition if we specify test="F" as it is recomanded for glm using quasibinomial, the test remains a Chisq test. Are all tests scaled for dispersion, or none? Why is there a difference between glm and lmer