search for: catpred

Hello, I have been working on a proposal for CentOS that would allow certain third party repositories to have their release RPM included in the CentOS Extras repository, similar to how epel-release is included now. https://gist.github.com/carlgeorge/ae71d54c99d3536ee352 http://lists.centos.org/pipermail/centos-devel/2015-March/013097.html username: CarlGeorge proposed subject: Community

Thanks Alan. While working on this draft, I accidentally deleted the old content, and now I cannot edit the page anymore. Can you re-add my edit access on this page? Carl George ________________________________________ From: centos-docs-bounces at centos.org <centos-docs-bounces at centos.org> on behalf of Alan Bartlett <ajb at elrepo.org> Sent: Wednesday, May 27, 2015 01:27 PM To:

On 27 May 2015 at 19:07, Carl George <carl.george at rackspace.com> wrote: > Hello, > > I have been working on a proposal for CentOS that would allow certain third party repositories to have their release RPM included in the CentOS Extras repository, similar to how epel-release is included now. > > https://gist.github.com/carlgeorge/ae71d54c99d3536ee352 >

Howdy, I am proposing a process for 3rd party repositories that would allow them to have their release RPM added the the CentOS Extras repository. http://wiki.centos.org/CarlGeorge/CATPR I would like to start a discussion about approving the proposal and how to move forward. Carl George IUS CoreDev Team

...tors in the models, I get the error: Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' and 'y' lengths differ. Similarly, if I try to get the variance of the residuals across levels of a categorical predictor, I get the error: Error in tapply(fitted(fm.1, level = 1), multi.2$catpred, var, : arguments must have same length My question is how to circumvent the problem, as it's becoming a hindrance. I've tried basic/obvious solutions (e.g., when trying to get the residual variances above, including "na.rm=T"), but nothing helps, and this seems to simplisti...

...uares is an ANOVA-thing; the closest correspondence in terms of model coefficients is the coding of your categorical contrasts. See the literature mentioned above for more details as well as Dale Barr's discussion on simple vs. main effects in regression models (http://talklab.psy.gla.ac.uk/tvw/catpred/). (?nlme::anova.lme does have indeed have a 'type' argument.) 2. It is possible for the sequential tests and the marginal tests to yield the same results. Again, see the above literature. You have no interactions in your model and continuous (i.e. not-categorical) predictors, so if they&...

...ing; the closest correspondence in terms of model coefficients > is the coding of your categorical contrasts. See the literature > mentioned above for more details as well as Dale Barr's discussion on > simple vs. main effects in regression models > (http://talklab.psy.gla.ac.uk/tvw/catpred/). > > (?nlme::anova.lme does have indeed have a 'type' argument.) > > 2. It is possible for the sequential tests and the marginal tests to > yield the same results. Again, see the above literature. You have no > interactions in your model and continuous (i.e. not-catego...

Hi, I am running an analysis with an ordinal outcome and I need to run a test of the parallel regression assumption to determine if ordinal logistic regression is appropriate. I cannot find a function to conduct such a test. >From searching various message boards I have seen a few useRs ask this same question without a definitive answer - and I came across a thread that indicated there is no