similar to: GLM coefficients

Full_Name: Finn Knudsen Version: 1.8.0 OS: windows 2000 Submission from: (NULL) (194.192.22.33) The problem seems to happen when running the GLM. When both multiplicative effects and an offset is present. I experienced this problem on my own dataset when using af Poisson familiy with log link function but the behaviour can be reproduced with the following code. I do not know if it is a bug, but

Hello, I'm a starting user of R. I have installed R 1.9.1 and winedt 5.4 If I run the example from written with winedt. The summary command does not produce any output. It does when I repeat the command manualy in R. Can someone explain me what can be the problem? library(MASS) data(anorexia) anorex.1 <- glm(Postwt ~ Prewt + Treat + offset(Prewt), family =

A querent on StackOverflow asked about the with() function http://stackoverflow.com/questions/42283479/why-when-to-use-with-function#42283479 and asked about the example in ?with library(MASS) with(anorexia, { anorex.1 <- glm(Postwt ~ Prewt + Treat + offset(Prewt), family = gaussian) summary(anorex.1) }) which saves little or no typing

Dear Listers, I got this message when compiling a package: * creating pgirmess-manual.tex ... OK * checking pgirmess-manual.text ... ERROR LaTex errors when creating DVI version. This typically indicates Rd problems. The message is quite explicit but I struggled a lot before understanding that the trouble comes from a single file "selMod.rd" among 44 topics. Even though I have

Dear all, I am fitting a GLM similar to library(MASS) anorex.1 <- glm(Treat~Postwt+Prewt,family = binomial, data = anorexia) I have found two ways of computing the p-value of the fitted model: pval1 <- 1-pchisq(anorex.1$deviance,anorex.1$df.residual) pval2 <- 1-pchisq(anorex.1$null.deviance - anorex.1$deviance, anorex.1$df.null - anorex.1$df.residual) pval2 is

Dear listers, I was used to package pgirmess under Windows with everything OK, but, for the first time, I had a trial this afternoon on Ubuntu 7.10 gutsy (I have a double boot computer and work more and more under unix) and R 2.7.0. Everything went OK except this: sudo R CMD check pgirmess ..... * checking examples ... ERROR Running examples in 'pgirmess-Ex.R' failed. The error most

With new "strict" settings in R-devel, the following glm() example > data(anorexia, package = "MASS") > fm <- glm(Postwt ~ Prewt + Treat + offset(Prewt), family = gaussian, data = anorexia) > methods(class = class(fm)) Warning in grep(name, row.names(info)) : argument 'pattern' has length > 1 and only the first element will be used Warning in

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R-1.7.0 built on NetBSD 1.6, but the validation test suite failed: Machinetype: Intel Pentium III (600 MHz); NetBSD 1.6 (GENERIC) Remote gcc version: gcc (GCC) 3.2.2 Remote g++ version: g++ (GCC) 3.2.2 Configure environment: CC=gcc CXX=g++ LDFLAGS=-Wl,-rpath,/usr/local/lib make[5]: Entering directory `/local/build/R-1.7.0/src/library' >>> Building/Updating

I think this would be a good change. I think most users use the 'methods(class = <...>)' function to answer the question, "what methods can I call on objects with these classes?", and in that context I think it would be sensible for the function to accept more than one class. Kevin On Wed, Oct 17, 2018 at 7:15 AM Martin Maechler <maechler at stat.math.ethz.ch>

Hi, I looking for a method that use F or Chisq test instead of AIC in a stepwise modelo selection. I try the grasp package using the grasp.step.anova, but It dont work. > library(grasp) Carregando pacotes exigidos: gam Carregando pacotes exigidos: splines Carregando pacotes exigidos: mda Carregando pacotes exigidos: class > data(anorexia,package="MASS") > > m1 <-

Dear all, I have installed 1.7.0 on my Win XP and want to use MASS. But I get this error message: > library(MASS) Error in namespaceExport(ns, exports) : undefined exports: abbey, accdeaths, Aids2, Animals, anorexia, austres, bacteria, beav1, beav2, biopsy, birthwt, ... Error in library(MASS) : package/namespace load failed I therefore again downloaded VR.zip. When I extracted the files I

Dear all, we received a bug report for betareg, that in some cases the optim call in betareg.fit would hang the R session and the command cannot be interrupted by Ctrl-C? We narrowed down the problem to the dbeta function which is used for the log likelihood evaluation in betareg.fit. Particularly, the following command hangs the R session to a 100% CPU usage in all systems we tried it (OS X

Dear List, Apologies for this off-topic post but it is R-related in the sense that I am trying to understand what R is telling me with the data to hand. ROC curves have recently been used to determine a dissimilarity threshold for identifying whether two samples are from the same "type" or not. Given the bashing that ROC curves get whenever anyone asks about them on this list (and

I'm pretty sure I'll feel like [more of] an idiot but... Using Rgui working in a fresh, blank directory. > require(MASS) Loading required package: MASS [1] TRUE > data(cabbages) Warning message: ======> Data set `cabbages' not found in: data(cabbages) <===== > ls() [1] "last.warning" > search() [1] ".GlobalEnv" "package:MASS"

I am sorry if this question sounds basic but I am having trouble understanding a warning message I have been receiving in R after attempting logistic regression. I have been using the logistic regression function in R to analyse a simulated data set. The dependent variable "failure" has an outcome of either 0 (success) or 1 (failure). Both the independent variables have been previously

Hi I have a character matrix with 2 columns A and B, If I want to sort the matrix based on the column B, but based on a specific order of characters: mat<-cbind(c('w','x','y','z'),c('a','b','c','d')) ind<-c('c','b','d','a') I want "mat" to be sorted by the sequence in "ind":

Dear List, With regard to the question I previously raised, here is the result I obtained right now, brglm() does help, but there are two situations: 1) Classifiers with extremely high AIC (over 200), no perfect separation, coefficients converge. in this case, using brglm() does help! It stabilize the AIC, and the classification power is better. Code and output: (need to install package:

Hi, Optimizes celt_pitch_xcorr for ARM NEON floating point. Changes from RFCv3: - celt_neon_intr.c - removed warnings due to not having constant pointers - Put simpler loop to take care of corner cases. Unrolling using intrinsics was not really mapping well to what was done in celt_pitch_xcorr_arm.s - Makefile.am Removed explicit -O3 optimization - test_unit_mathops.c,

Sorry, I just realized I didn't type in the correct names of the variables I am working with, this is how it should be: plot(1,1,type="n") for (i in summ$tx) { points(summ$timep[summ$tx==i],summ$mn[summ$tx==i]) lines(summ$timep[summ$tx==i],summ$mn[summ$tx==i]) } Thank you, Judith ____________________________________________________________________________________