similar to: confint.glm(...) fails for binomial count data format

Dear R-users, Just like other users (as seen from previous posts on the list), I would like to use female and male signs in plots. I found B. Ripley's post about using Unicode characters. However, it doesn't works for me. > text(locator(1),"\u2640") produces the following error: Error: invalid \uxxxx sequence But I can specify other Unicode characters as long I

I need confint() for glm() to supress the messages "Waiting for profiling to be done..." because they mess up the caching mechanism of pgfSweave (see https://github.com/cameronbracken/pgfSweave/issues/40). I have read the help page of confint(), but I do not know how to get the help page for the glm() version, if any such help page exists. Is there a general way of turning of output

>>>>> steven pav >>>>> on Thu, 19 Jul 2018 21:51:07 -0700 writes: > It seems that confint.default returns an empty data.frame > for objects of class mlm. For example: > It seems that confint.default returns an empty data.frame for objects of > class mlm. Not quite: Note that 'mlm' objects are also 'lm' objects, and so it is

I can't get confint.glm to work from within a function. Consider the following (using R 1.9.1, Windows 2000): # FIRST: SOMETHING THAT WORKS FROM A COMMAND PROMPT DF <- data.frame(y=.1, N=100) (fit <- glm(y~1, family=binomial, data=DF, weights=DF[,"N"])) Call: glm(formula = y ~ 1, family = binomial, data = DF, weights = DF[, "N"]) Coefficients:

A non-text attachment was scrubbed... Name: not available Type: text/enriched Size: 3706 bytes Desc: not available Url : https://stat.ethz.ch/pipermail/r-help/attachments/20010913/b4135232/attachment.bin

the function confint uses the profiling method of the function of the package MASS confint.glm even after the package has been detached! 1: might this be the intenden behavior? 2. How does the function remember its 'MASS' functionality after detaching the package? R: 1.8.0; Windows 2000 Here is a sample program > set.seed(7882) > x<-rep(c(0,1),c(20,20)) >

Dear R-helpers, I am using confint() within a function, and I want to turn off the message it prints: x <- rnorm(100) y <- x^1.1+rnorm(100) nlsfit <- nls(y ~ g0*x^g1, start=list(g0=1,g1=1)) > confint(nlsfit) Waiting for profiling to be done... 2.5% 97.5% g0 0.4484198 1.143761 g1 1.0380479 2.370057 I cannot find any way to turn off 'Waiting for. .." I tried

Dear R users, The nnet package includes the multinom method for the confint function. The R Help file (?confint) for the generic function in the stats package and the help files for the glm and nls methods in the MASS package indicate that one can use the "parm" argument as "a specification of which parameters are to be given confidence intervals, either a vector of numbers or

Full_Name: Christian Lajaunie Version: 2.5.1 OS: Fedora fc6 Submission from: (NULL) (193.251.63.39) confint() does not use the appropriate variance term when the design matrix contains a zero column (which of course should not happen). Example: A 10x2 matrix with trivial column 1: > junk <- data.frame(x=rep(0,10), u=factor(sample(c("Y", "N"), 10, replace=T))) The

Hi, I have a glm gives summary as follows, Estimate Std. Error z value Pr(>|z|) (Intercept) -2.03693352 1.449574526 -1.405194 0.159963578 A 0.01093048 0.006446256 1.695633 0.089955471 N 0.41060119 0.224860819 1.826024 0.067846690 S -0.20651005 0.067698863 -3.050421 0.002285206 then I use confint(k.glm)

On July 12, 2004 Spencer Graves wrote an email describing essentially the same issue that I would like help on: calling the confint function from within another homemade function. Because he provided many good examples of the problem, I will not reproduce them here but will instead refer readers to the original posting: http://www.mail-archive.com/r-help at stat.math.ethz.ch/msg23826.html It is

Dear colleagues, I have used statistical software "R" in academic research, and I find very interesting. So now I have started my studies at advanced level. I have conducted several statistical models of the type "*nls*". In respect of procedures for models of the type nls, I'd like you answer only one question that I have had doubts, related to the formula

Hi all, I've got a list (Reg3Lst) with 1000 nls regression results in it. I'd like to get the confidence interval of the parameters obtained with the nonlinear regressions. Thus I've used this: for (i in 1:1000) { foo<-list(foo,confint(Reg3Lst[[i]])) } For some regressions the confidence interval is not estimated because of a singular gradient result. Then it

I fit a proportional odds model with the polr-function of the MASS package from Venables and Ripley Applying the confint method to calculate confidence intervals for the parameters I get the following error message Waiting for profiling to be done... Re-fitting to get Hessian Error in X[, -i, drop = FALSE] : incorrect number of dimensions Can someone explain the error-message? (The

hello, i did median based linear regression and computed conf.intervals for my coefficients. but something must have went wrong as the estimates are out of estimates confidence bounds. does someone know what is the problem here. i get warning messages about wilcox.test is not able to do calculations of exact p-values with ties and zeroes, but i do not expect the estimates and theire ci's to

Dear R developers, I noticed a bug in the stats4 package, specifically in the confint method applied to ?mle? objects. In particular, when some ?fixed? parameters define the log likelihood, these parameters are stored within the mle object but they are not used by the ?confint" method, which retrieves their value from the global environment (whenever they still exist). Sample code: >

I don't know if this has already come up in the list or elsewhere - a quick search did't show anything relevant - but I think it's worth of mention. The confint.lm function in package MASS doesn't work correctly when called on a subset of parameters. The bug, easy to fix, is that confidence intervals are computed for all parameters anyway, and then assigned to a matrix which is too

Hi there, I had a problem when I hoped to get confidence intervals for the parameters I got using mle() of stats4 package. This problem would not appear if ``fixed'' option was not used. The following mini-example will demo the problem: x <- c(100, 56, 32, 18, 10, 1) r <- c(18, 17, 10, 6, 4, 3) n <- c(18, 22, 17, 21, 23, 20) loglik.1 <- function(alpha, beta, c) { x

confint.glm prints a message "Waiting for profiling to be done..." I could have sworn that there used to be an option (quiet = TRUE?) to turn this message off without resorting to suppressMessages() (finer/more specific control is always preferable ...) -- but on the basis of looking back at archived versions of MASS, and at this Stack Overflow post:

I am unable to calculate confidence intervals for the slope estimate in a quasibinomial glm using confint(). Below is the output and the package info for MASS. Thanks in advance! R 2.9.2 MASS 7.2-48 > confint(glm.palive.0.str) Waiting for profiling to be done... Error: dims [product 37] do not match the length of object [74] > glm.palive.0.str Call: glm(formula = cbind(alive, red) ~ str,