similar to: where is Jim Lemon? (PR#8259)

Full_Name: Robert Kushler Version: 2.4.1 OS: Windows XP Submission from: (NULL) (69.245.71.40) In the constant leverage case, plot #5 is not correctly produced. The labels on the x-axis are sorted correctly by magnitude of the fitted value, but the data are plotted in the original factor order. I changed facval[ord] <- facval xx <- facval

Good Day, I fit a multivariate linear regression model with 3 dependent variables and several predictors using the lm function. I would like to use stepwise variable selection to produce a set of candidate models. However, when I pass the fitted lm object to step() I get the following error: Error from R: Error in drop1.mlm(fit, scope$drop, scale = scale, trace = trace, k = k, : no

Dear All, I have been trying to simulate data from a fitted glm using the simulate() function (version details at the bottom). This works for lm() fits and even for lmer() fits (in lme4). However, for glm() fits its output does not make sense to me -- am I missing something or is this a bug? Consider the following count data, modelled as gaussian, poisson and binomial responses: counts

Hi, can anybody tell me how to contact the maintainer of the "concord" package? The address given in the help file is not valid anymore. ,---- | > help(package=concord) | | Information f?r Paket 'concord' | | Description: | | Package: concord | Version: 1.4-2 | Date: 2005-05-10 | Title: Concordance and reliability | Author: Jim Lemon

Hi all! I am working with GLMM using the binomial family I use the following codes I dropped no significant terms, refitting the model and comparing the changes with likelihood: G.1<-lmer(data$Ymat~stu+spi+stu*sp1+(1|ber),data=data,family="binomial") G.1b<-lmer(data$Ymat~stu+spi+(1|ber),data=data,family="binomial") anova (G.1,G.2) But, when I want to evaluate the

Hi there, I don't have much experience with fitting at all and I'd like to get some advice how to use the "weights"-argument with nls correctly. I have created some data with a sigmoidal curve shape. Each y-Value was generated by the mean of three values. A standard deviation was calculated too. Now, I'd like to weight the data points respective to its standard

Full_Name: Robert Kushler Version: 2.7.2 OS: Windows XP Submission from: (NULL) (69.246.102.98) I believe that the negative binomial family (from MASS) should be added to the list for which dispersion is set to 1.

I would like to set the y axis limit of an xyplot using the object 'ylimit', but receive this error: [1] 990 Error in extend.limits(limitlist[[i]], axs = axs) : improper length of lim I get the same error if I use ylim. library(lattice) trellis.device(col = FALSE, theme = lattice.getOption("col.whitebg")) name <- "Variable name" symbols <-

hello, because ? have data between these times and it has 177647 elements ________________________________ G?nderen: Marc Girondot via R-help <r-help at r-project.org> ad?na R-help <r-help-bounces at r-project.org> G?nderildi: 16 Ekim 2023 Pazartesi 13:43 Kime: r-help at r-project.org <r-help at r-project.org> Konu: Re: [R] creating a time series Why did you expect to have

Why did you expect to have 177647 elements ? I found that 177642 is the correct number: Marc baslangic <- as.POSIXct("2017-11-02 13:30:00", tz = "CET") bitis <- as.POSIXct("2022-11-26 23:45:00", tz = "CET")? # zaman_seti <- seq.POSIXt(from = baslangic, to = bitis, by = 60 * 15) y2017_11_02 <- seq(from=as.POSIXct("2017-11-02

Hi, I am reading the source code of rpart. I have problems understand the following code and would appreciate for any helps. In rpart.s, there is a line: rpfit &lt;- .C(C_s_to_rp, &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; n = as.integer(nobs), &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; nvarx

Dear all, I am trying to transform polynomial coefficients from orthogonal form to the standard power basis. There's poly.transform in S-plus. Does anybody know how to do that in R ? I've found question about that in the archives of R-help but no real answer. Example : I'm doing polynomial regression of percentage of one insect in a community on altitude, precipitations,

On May 21, 2008, at 11:45 AM, Török Edwin wrote: > The forking was introduced because the runtime was too small; I think this direction is wrong. I'd rather have some infrastructure that can get nanoseconds or tick counters and print them... This then allows for a microbenchmark suite, which I think fits in nicely with the llvm philosophy.

I bumped into the following situation: Browse[1]> coef deg0NA deg4NA deg8NA deg0NP deg4NP deg8NP (Intercept) 462 510 528 492 660 762 Browse[1]> coef[,1] [1] 462 Browse[1]> coef[,1,drop=F] deg0NA (Intercept) 462 where I really wanted neither, but (Intercept) 462 Anyone happen to know a neat way out of the conundrum? I can think of

Does anyone know if this is a known xfail? I'm getting a failure for Mips on this but at the same time, ecmascript.y gets errors when running it through lemon for both gccx86 and llvm mips so I don't know if the output is supposed to really compare or not. (This test runs lemon on multiple input files and computes a hash of the result and diffs the hash). All inputs that are not

Evan Cheng wrote: > On May 21, 2008, at 6:09 AM, Matthijs Kooijman wrote: > > >> Hi, >> >> I've been toying around with the testsuite for a bit, and after >> recompiling >> llvm-gcc a bunch of times and fixing a nasty bashism bug, I actually >> got it to >> run and pass most tests. >> >> When running, I noticed a very long

On May 21, 2008, at 6:09 AM, Matthijs Kooijman wrote: > Hi, > > I've been toying around with the testsuite for a bit, and after > recompiling > llvm-gcc a bunch of times and fixing a nasty bashism bug, I actually > got it to > run and pass most tests. > > When running, I noticed a very long runtime on the lemon test. At > first I > suspected an infinite

Sorry for the delay, the fileuploader demo is now available for download at http://212.145.207.60/demofileuploader.rar. I wish you like it and tell me how to improve it. _______________________________________________ Rails-spinoffs mailing list Rails-spinoffs-1W37MKcQCpIf0INCOvqR/iCwEArCW2h5@public.gmane.org http://lists.rubyonrails.org/mailman/listinfo/rails-spinoffs

Folks here might be interested in watching Jim Mauro give a presentation on DTrace at a recent OpenSolaris User Group meeting in London. Jim probably needs no introduction here, but is a co-author of the new DTrace book. Videos of his presentation are up at <http://www.youtube.com/playlist?p=PL21BE4DAC8A23B9BB>. Chris

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