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7 results for “from:Dominic Barraclough”

R as server in Windows - and the com interface
Dominic_Barraclough@urmc.rochester.edu · Sep 7, 2000 · r-help

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Is there a method to calculate Huynh and Feldt adjustments for sphericity violations
Dominic_Barraclough@urmc.rochester.edu · Aug 24, 2000 · r-help

Hi, I'm getting to grips with using R to perform repeat measures analysis of variance and was wondering is there a potted method to obtain Huynh and Feldt or other adjustments for sphericity violations? Thanks Dominic Dr Dominic J...

is win.print() broken or am I doing something wrong?
Dominic_Barraclough@urmc.rochester.edu · Aug 28, 2000 · r-help

I am trying to print a graph > plot(y=atestplot$b,x=atestplot$a, type="s") > win.print() This leads to a windows print dialog box- that diappears when i hit print. subquently i find a "GraphAppJob" of zero size...

is win.print() broken or am I doing something wrong?
Dominic_Barraclough@urmc.rochester.edu · Aug 28, 2000 · r-help

Thankyou for the prompt reply and the redirection (back to trying dev.print- i had tried it but it did not seem to do what i wanted) Next question - I have now played with dev.print- and have been able...

is win.print() broken or am I doing something wrong?
Dominic_Barraclough@urmc.rochester.edu · Aug 28, 2000 · r-help

On 28 Aug 2000, at 12:33, Thomas Lumley wrote: On Mon, 28 Aug 2000 Dominic_Barraclough at urmc.rochester.edu wrote: You can use win.print for this, you just have to do your plotting *after* you start it...

setting options when using eval
Dominic Barraclough · Feb 20, 2004 · r-help

Hi All, I'm using a call to eval to evaluate a linear model, however, I have found that despite calling options (contrasts=c("contr.sum", "contr.poly")) prior to evaluation, my model factors are coded using the indicator coding...

question about how summary.lm works
Dominic Barraclough · Jan 12, 2004 · r-help

Hi, While exploring how summary.lm generated its output I came across a section that left me puzzled. at around line 57 R <- chol2inv(Qr$qr[p1, p1, drop = FALSE]) se <- sqrt(diag(R) * resvar) I'm hoping somebody could...

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