similar to: Surprising results from summary(lm()) on data with NO variation

Hello, I was trying a glm fitting (as shown below) and I got a warning and a fitted residual deviance larger than the null deviance. Is this the expected behavor of glm? I would expect that even though the warning might be warranted I should not get worse fitting with an additional covariate in the model. Could anyone tell me what I'm missing? I get the same results in both R2.5.1 on windows

Hi all, I'm trying to do a simple curve fit and coming up with some interesting results I would like to get comment on. So as shown below, tsR is my explanatory and response is... well... my response. This same data in gnumeric gets fitted with the curve "response=10078.4 + 1358.67 * ln (explanatory - 2009.07) So I'm using nls with the start values supplied by gnumeric. in

Dear Sir/Ma, I Adelabu.A.A, one of the R-users from Nigeria. When am running a coxph command the below error was generated, and have try some idea but not going through. kindly please assist: > cox1 <- coxph(Surv(tmonth,status) ~ sex + age + marital + sumassure, X) Warning message: In fitter(X, Y, strats, offset, init, control, weights = weights, : Ran out of iterations and did not

I just ran some real, hard numbers about git and svn usage. These are just numbers, I don't want people to jump to conclusions. I basically just wrote a little script that iterates over every message in llvm-commits (for as long as I have been subscribed, which is about since Feb 2012) and if there are patches attached it tallies up the counts of what kind of patch it looks like. It uses

Hello all. My currently used versions: libvirt-5.2.0 and qemu-4.0.0. Here is my problem. I'm struggeling since a few weeks with a strange behaviour by either qemu or libvirt. After a reboot of the hardware node the $domain.xml contains suddenly a backingStore setting which was not there before reboot. Something like that: <devices>

Let me summarize the bug reported by Ulf Martin on R-help with the same subject line. The code plot(1:10) text(1, 9, expression(F == bgroup("{", x, ""))) results in greek letters, which is not expected here. That happens if the user tries to set only a left delimeter, the same with: text(2, 8, expression(F == bgroup("{", x, "."))) or

Dear R-developers, I find the current behavior of Negate() somewhat confusing. It does not match the passed function 'f' until the returned function is called for the first time. To see an example of what this can do see the following (contrived) example: f <- function(x) is.integer(x) not_f <- Negate(f) f <- function(x) is.character(x) ## Both should, in my mind,

tkimage.create function can read some images but can't read the other images. We can reproduce it by running the code below. ------------------------------------------------------------------------------------- library(tcltk) library(magick) # works fine tmp <- tempfile(fileext = ".gif") image_write(logo, tmp) image_tcl <- tkimage.create("photo",

Dear R user community I wanted to use "bgroup" for plotting a math formula with a big "{" on the left, and nothing on the right. i used text( 10, 10, pos=4, cex=1.8, expression(F(x) == bgroup("{", x, "")), ...) on a 40 x 20 plot. surprisingly, bgroup sets "Phi(xi) = { xi" i.e. replaces alphabetic characters with greek letters in the entire

Hi, I noticed the following fortune in R 2.7 and 2.6.2: fortune('Spreads') If anything, there should be a Law: Thou Shalt Not Even Think Of Producing A Graph That Looks Like Anything From A Spreadsheet. -- Ted Harding (in a discussion about producing graphics) R-help (August 2008) Just wondering, what function and library gave this detailed prediction? Cheers

Dear all, I have been implementing some bootstrap-related methods, and came across this theoretically undesirable behaviour in the computation of bootstrap quantiles. The manual says: ?Interpolation on the normal quantile scale is used when a non-integer order statistic is required.? Theoretically, when R=999 and (R+1)*alpha is integer, then, the calculations of the 95% CI should never contain

Dear Listmembers, wanting to learn more about ALTREP I wrote the following function to extract a subsequence from an integer vector: #include <Rinternals.h> SEXP integer_get_region(SEXP _x, SEXP _i, SEXP _n) { int i = INTEGER(_i)[0]; int n = INTEGER(_n)[0]; SEXP result = PROTECT(Rf_allocVector(INTSXP, n)); INTEGER_GET_REGION(_x, i, n, INTEGER(result)); UNPROTECT(1); return

(switched to libvirt-users as it seems to be more appropriate) On 2019-05-16 23:02, Eric Blake wrote: > On 5/16/19 10:20 AM, Thomas Stein wrote: >> Hello all. >> >> My currently used versions: libvirt-5.2.0 and qemu-4.0.0. >> >> Here is my problem. I'm struggeling since a few weeks with a strange >> behaviour by either qemu or libvirt. After a reboot

This is a function I coded a few years ago to calculate a confidence interval for a coefficient of variation. The code is based on a paper by Mark Vangel in The American Statistician. I have not used the function much, but it could be useful for comparing cv's from different groups. Kevin Wright confint.cv <- function(x,alpha=.05, method="modmckay"){ # Calculate the

Hi, After performing a multiple linear regression, I am looking for an R package that can calculate the fraction [a] a partitioning of variation. This fraction measures the proportion of variance of y explained by the explanatory variable x1 (for example) when other variables (x2, x3 ...) are held constant. Thank you in advance for your help -- View this message in context:

Is it possible for syslinux to load another syslinux with it's own configuration file found in another directory? If so, where can I find sample? Thanks in advance

Hello, Has anyone had success submitting forms that have a multi select drop down boxes? I have worked on this for 3 days and have not found the solution and today I found a post that seemed to suggest that I need to do this in an alternative way. http://wiki.m001.net/technical/show/HowtoPostWithMultiselectList, but I really see this as cumbersome and less than ideal. I can already see

I have been using the package vioplot to make boxplot/densityplots. Now I am looking for a variation of this, and I was wondering if someone could give me any tips on how to do what I want. I have nine groups of values, each group containing two sets of numbers which show the difference between two values, such as this: Start dev Stop dev -1 10 5 -2 0

Esteemed R Users, Would some one be patient enough to explain the variation i see when creating .pdf file output for my plots? FYI- my goal is produce the highest quality .pdf output from the R 'command line' as opposed to using the menu of the acitve graphics window. Im using 32bit WinXP. Session info at the bottom. I have Ghostscript v8.71 installed and in the Path such that

I am a novice in R but using R 2.13.1 in Windows I wish to be able to calculate the percentage variation in a zero-inflated negative binomial regression model that is explained by the two predictors in my model. My response variable was no. of dung-piles per km and the predictor of excess zeros was distance to major road (km) . Thanks in advance. Boafo [[alternative HTML version