search for: omnibus

R 2.9.1 Windows XP I am fitting a random effects ANOVA with two factors Group which has two levels and Time which has three levels: fita<-lme(Post~Time+factor(Group)+factor(Group)*Time, random=~1|SS,data=blah$alldata) I want to get the omnibus significance tests for each factor and the interaction. I believe I can get the omnibus test for the interaction by running the model: fitb<-lme(Post~Time+factor(Group), random=~1|SS,data=blah$alldata) followed by anova(fita,fitb). How do I get the omnibus test for the main effects i.e. for Ti...

I''ve noticed that the copy of Mongrel installed by the camping-omnibus gem doesn''t work with Ruby 1.8.6. Or to be more specific, cgi_multipart_eof_fix (which Mongrel is dependent upon) doesn''t work: > $ sudo gem install mongrel --source http://code.whytheluckystiff.net > > ERROR: Error installing mongrel: > cgi_multipart_eof_fix re...

If one estimates a model using multinom, is it possible to perform the omnibus LR test ( the analogue to omnibus F in linear models ) using the output from multinom ? The residual deviance is there but I was hoping I could somehow pull out the deviance based on just using an intercept ? Sample code is below from the CAR book but I wasn't sure how to do it based on th...

Daniel, When Group is entered as a factor, and the factor has two levels, the ANOVA table gives a p value for each level of the factor. What I am looking for is the omnibus p value for the factor, i.e. the test that the factor (with all its levels) improves the prediction of the outcome. You are correct that normally one could rely on the fact that the model Post<-Time+as.factor(Group)+as.factor(Group)*Time contains the model Post<-Time+as.factor(Group) and c...

gem install camping-omnibus --source code.whytheluckystiff.net Considering the number of optional dependencies now in Camping, I''ve put together an eigengem which will load all of the recommended libraries that most devoted campers will want: ActiveRecord, Mongrel, SQLite3, RedCloth and the acts_as_versioned gem. (...

I am looking for an R package with which one can calculate an effect size for a set of contrasts given an omnibus chi-square test statistic (more than 1 degree of freedom). Is there such a package? Presumably, it would implement the procedure (or something like it) described by Roznow and Rosenthal 1996 Psychological Methods 1: 331-340. many thanks! Steven Orzack Fresh Pond Research Institute 173 Harvey Str...

...see whether the interaction term is significant, produces the error, "Fitted objects with different fixed effects. REML comparisons are not meaningful." Upon examination using summary(l3), it seems that the fixed factors are indeed different. So, my question is this: How do I estimate omnibus main effects for multi-level factors and multi-level factor interactions in lme models? Many thanks, Adam D. I. Kramer Ph.D. Student, Social and Personality Psychology University of Oregon

This is very possibly not a question on R. I was under the impression that the argument that gives rise to Fisher's LSD method in ANOVA works in other situations with three-way comparisons too, given that formal logic works the same ("if the omnibus test rejects, only two of the three groups may be equal, and therefore only one hypothesis can be rejected falsely"). However, when I applied the method to survival models with a frailty term, it looks as if things are not that easy. With simulated data, the global test of a categorical expla...

...sics. With tokens, you only need to teach all passes about tokens, which they should already know about because WinEH and other things use them. With tokens, we can add as many region-introducing intrinsics as makes sense without any additional cost to the middle end. We don't need to make one omnibus region intrinsic set that describes every parallel loop annotation scheme supported by LLVM. Instead we would factor things according to other software design considerations. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev...

Dear R-ers, I am using getGEO to download expression data from the Gene Expression Omnibus. With default settings, when a file is downloaded and parsed, lots of dotted lines are printed in the terminal, like this: .......... .......... .......... .......... .......... .......... .......... .......... .......... .......... .......... .......... .......... .......... .......... ............

I am trying to test goodness of fit for my legalistic regression using several options as shown below.  Hosmer-Lemeshow test (whose function I borrowed from a previous post), Hosmer–le Cessie omnibus lack of fit test (also borrowed from a previous post), Pearson chi-square test, and deviance test.  All the tests, except the deviance tests, produced p-values well above 0.05.  Would anyone please teach me why deviance test produce p-values such a small value (0.001687886) that suggest lack of fit...

Dear list members, I am looking for a goodness of test that will tell me if a sample is likely to have come from a standard normal distribution. I can find plenty of omnibus tests for normality in the nor.test package, but none of them appear to allow me to test against the specific alternative that the data are not standard normal. My back up option is to use a Kolmogorov-Smirnov test, but my impression is that that is not a very powerful test. Any suggestions? Thank...

...singular gradient matrix error, so I tried the Golub-Pereyra algorithm for partially linear least-squares. It also seems the nls model tries to find ten different gammas, but I want only one single gamma parameter for the function. I appreciate your help and support. Thank you. sol lucet omnibus Mark Hempelmann

...kage. https://github.com/HenrikBengtsson/parallelly I?m wondering what the appropriate process would be to slowly merge some functions from {parallelly} into the base R {parallel} package. Should this be done with targeted issues on Bugzilla for different fields Henrik has identified? Or would an omnibus patch bringing in all suggested modifications be preferred? Or is it best to discuss via the list-serv appropriate contributions? Best, JJB [[alternative HTML version deleted]]

...you only need to teach all passes about tokens, which they should already know about because WinEH and other things use them. >> >> With tokens, we can add as many region-introducing intrinsics as makes sense without any additional cost to the middle end. We don't need to make one omnibus region intrinsic set that describes every parallel loop annotation scheme supported by LLVM. Instead we would factor things according to other software design considerations. > > I think that, unless we allow frontends to add their own intrinsics without recompiling LLVM, this severely restr...

...eased before I add gem support. * R() now accepts a Hash in its arguments which can be used to build a query string. R(Topic, @topic.id, :page => 24) #=> "/topic/14?page=24" * Base#to_a, discussed here.[1] Can be used to forward requests. Both the camping and camping-omnibus gems are fresh. gem install camping-omnibus --source http://code.whytheluckystiff.net _why [1] http://redhanded.hobix.com/bits/theSiphoningSplat.html

...| Senior Methodologist | Marketing Sciences & Advanced Analytics | Harris Interactive O: +44 (0)20 8263 5249 | M: +44 (0)7890 561391 | E: pharding@harrisinteractive.com Watermans Park, High Street, Brentford, TW8 0BB, UK www.harrisinteractive.com/europe Remember that we have a global online omnibus service at your disposal. 25+ markets run as frequently as weekly, and priced from £195 per question. Flexibility of 1,000 or 2,000 people each time. See our omnibus in action in the FT, Herald Tribune, the Metro and many more. [[alternative HTML version deleted]]

...n which Time has 4 levels, Group has 2 levels: fit2<-aov(Post ~ as.factor(Time) +as.factor(Group)+as.factor(Group*Time)+Error(SS), alldata) I would like to get a p value for each level of time, each level of Group and each level of Group*Time. How can I do this? I get this, which appears to be omnibus p values for the factors: Error: SS Df Sum Sq Mean Sq as.factor(Group) 1 12.918 12.918 Error: Within Df Sum Sq Mean Sq F value Pr(>F) as.factor(Time) 3 19.8486 6.6162 7.5652 0.002601 ** as.factor(Group) 1 3.4074 3.4074 3.89...

...and would like to report for each variable whether it is significantly moderating effect size. Is it possible to obtain an overall main effect of each categorical variable, instead of the contrast effects? Or can I only obtain this by including one categorical moderator at a time and reporting the omnibus moderator test? Many thanks, Anika [[alternative HTML version deleted]]

...owever what is the exact meaning of the parameter, and how do we calculate the parameter? If the sample size is small (20~40), is this estimation still reliable? Question Two: the p-value in the last line (Likelihood ratio test=15.9 on 3 df, p=0.00118) is asymptotically equivalent tests of the omnibus null hypothesis that all of the 佄伈佲檚 are zero, according to John Fox's "Cox Proportional-Hazards Regression for Survival Data" (http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-cox-regression.pdf) Can anybody explain that why this true? (As I know, the p-value is obtai...