similar to: problem with zero-weighted observations in predict.lm?

I am attempting to run a glm with a binomial model to analyze proportion data. I have been following Crawley's book closely and am wondering if there is an accepted standard for how much is too much overdispersion? (e.g. change in AIC has an accepted standard of 2). In the example, he fits several models, binomial and quasibinomial and then accepts the quasibinomial. The output for residual

Hi All, I am looking at applications of percentiles to time sequenced data. I had just been using the quantile function to get percentiles over various periods, but am more interested in if there is an accepted (and/or R-implemented) method to apply weighting to the data so as to weigh recent data more heavily. I wrote the following function, but it seems quite inefficient, and not really very

Here's a quick patch to have either horz or vert (instead of both) maximized windows honor the "ignore" option: --- src/window.c +++ src/window.c @@ -4012,7 +4012,7 @@ constrainNewWindowSize (CompWindow *w, if (d->opt[COMP_DISPLAY_OPTION_IGNORE_HINTS_WHEN_MAXIMIZED].value.b) { - if ((w->state & MAXIMIZE_STATE) == MAXIMIZE_STATE) + if (w->state

Dear all I have two 10*10 matrixes and I would like to compare theirs contents. By the word content I mean to check visually (not with any mathematical formulation) how similar are the contents. I also know edit that prints my matrix in the scree but still one edit blocks the prompt to launch a second edit() screen. What is the best way to compare these two matrices? I would like to thank you

Hi, I'd like to blow up portions of my graph and put it in boxes beside the graph.Is there an addon to do this? -- Rajesh.J [[alternative HTML version deleted]]

Hello everyone, this is the very first version of the patch series that introduces ARMv7 with virtualization extensions support in Xen. The series allows Xen and Dom0 to boot on a Cortex-A15 based Versatile Express simulator. See the following announce email for more informations about what we are trying to achieve, as well as the original git history: See