similar to: paradox about the degree of freedom in a logistic regression model

Hi, I have recently been attempting to find the LD50 from two predicted fits (For male and females) in a Generalised linear model which models the effect of both sex + logdose (and sex*logdose interaction) on proportion survival (formula = y ~ ldose * sex, family = "binomial", data = dat (y is the survival data)). I can obtain the LD50 for females using the dose.p() command in the MASS

> From: Ross Darnell > > Liaw, Andy wrote: > >>From: Liaw, Andy > >> > >> > >>>From: Ross Darnell > >>> > >>>A good point but what is the value of storing a large set of > >>>predicted > >>>values when the values of the explanatory variables are lost > >>>(predicted >

Dear R-help list members, I am currently trying to fit a generalized linear model using a binomial with the canonical link. The usual solution is to use the R function glm() in the package "stats". However, I run into problem when I want to fit a glm without an intercept. It is indicated that the solution is in changing the function glm.fit (also in "stats"), by specifying

I am working with Probit regression (I cannot switch to logit) can anybody help me in finding out how to obtain with R Finney's fiducial confidence intervals for the levels of the predictor (Dose) needed to produce a proportion of 50% of responses(LD50, ED50 etc.)? If the Pearson chi-square goodness-of-fit test is significant (by default), a heterogeneity factor should be used to calculate

Hi - I am fitting a probit model using glm(), and the deviance and residual degrees of freedom are different depending on whether I use a binary response vector of length 80 or a two-column matrix response (10 rows) with the number of success and failures in each column. I would think that these would be just two different ways of specifying the same model, but this does not appear to be the case.

Hi. I'm trying to plot the ratio of used versus unused bird houses (coded 1 or 0) versus a continuous environmental gradient (proportion of urban cover [purban2]) that I would like to convert into bins (0 - 0.25, 0.26 - 0.5, 0.51 - 0.75, 0.76 - 1.0) and I'm not having much luck figuring this out. I ran a logistic regression and purban2 ends up driving the probability of a box being

Dear all, How to obtain the odds ratio (OR) and 95% confidence interval (CI) with 1 standard deviation (SD) change of a continuous variable in logistic regression? for example, to investigate the risk of obesity for stroke. I choose the happening of stroke (positive) as the dependent variable, and waist circumference as an independent variable. Then I wanna to obtain the OR and 95% CI with

Hi, I have a nested unbalanced data set of four correlated variables. When I do univariate analyses, my factor of interest is significant or marginally significant with all of the variables. Small effect size but always in the same direction. If I do a MANOVA instead (because the variables are not independent!) then my factor is far from being significant. How does that come about? I have

Dear R-Listers, to measure the psychometric curve of pitch discrimination, one sequentially presents two tones of slightly different pitch to an observer (animal will do), and asks "which is higher". The pschometric curve is the fraction of correct responses plotted against the pitch difference. It passes through 50% (pure guessing) at zero and normally approaches 100% at large

What am I failing to understand here? The script below works fine if the dataset being used is DNase1 <- DNase[ DNase$Run == 1, ] per the example given in help(nlrob). Obviously, I am trying to understand how to use nls and nlrob to fit curves to data using R. #package=DAAG attach(codling) plot(pobs~dose) #next command returns 'step factor reduced below min factor

Hello, I've got a program written in S-plus which I think is converted successfully to R with the exception of part of the opt.param function written. In S-plus it is: nlminb(start=x0, obj=negllgamma.f, scale=1, lower=c(0.01,0.0001), upper=c(10,0.9999), gamma=gamma, maxlik=maxlik, y=ldose, s=lse, max.iter = 1000, max.fcal = 1000)$par and so far with R I've got to: optim(par=x0,

Hello, I have a server samba/linux executing a software Delphi with access to database Paradox. The configurations are OK, but when more than an user is accessing the system, he is very slow. How can I solve this problem? Regard?s F?bio Ferreira fabio@datafusion.com.br

Anyone on the list using a Paradox database on a Samba server? I'm after any performance tweaks which might speed up accessing data in a particular application (Q-Pulse, just in case anyone's heard of it). Any smb.conf tweaks in general which have made a proven speed improvement would be welcomed. TIA Jon.

Hi, I use samba for one year only, but with full satisfaction. Only with latest cvs tree I discovered some (maybe particular) problem. In mixed environment of win95oemII and NT4 workst (sp3 or sp4) we share some Paradox 7.0 database on linux server (Rh5.2 and 2.2.0-pre1 kernel). Paradox controls multiuser access to the data with three files: PDOXUSRS.NET (user names etc?), and two lock files,

I've been trying to get a program that uses Paradox databases over Samba shares set up for a company here and I'm smashing my head into a wall. This is a custom application written with Delphi/BDE accessing Paradox tables on a network share. Previously they used Netware and all was glorious until the box died, since they're version of Netware was bootlegged ages ago I decided to

I'm interested in moving a client-server application written partially in Paradox 9 onto an all linux platform. The server is Interbase, so that was an easy transition thanks to IBPhoenix. However, the client requires the Paradox 9 runtime which isn't available on Linux. Wine seems like a possibility, but I can't find any evidence of anyone trying it, successful or not. Has anyone out

Hi! I was able to install my good old Paradox 5, a 16-bit application. But when I start it, it crashes after some (correct) Dialogboxes with that trace: > wine 'C:\Programme\PDOXWIN\PDOXWIN.EXE' wine: Unhandled page fault on read access to 0xffffffff at address 0x11f7:0x00000f02 (thread 0018), starting debugger... Unhandled exception: page fault on read access to 0xffffffff in 16-bit

Hi all... Last monday i migrated form novell 4.0 to Samba 3.0 PDC. The server acts as a file server for 30 workstations (Win2000) using an aplicattion that combines clipper (with .dbf files) and delphi (uses paradox .px and .db). Its perfomance has been very poor since i changed the server. PLEASE HELP ME, since its in production and i really don know what to do. thanks, sebastian davancens

Hello list, i have problems using paradox tables (Paradox Level 5) via BDE (4.01 and 3.02) on my linux server, but their performance is very slow. At current, i'm using Samba 1.9.17p2 (and yes, i know this is not the current version, upgrad is planned). The configuration is very passive (locking for multiuser access to tables, direct write to disk). Does anybody have a suggestion on how

Does anyone know how to do this, I've copied both DD/Arma and Ricky to a directory in my home folder, and try to run it with a command: wine '/home/myaccount/.wine_c/program files/paradox/doomsday/doomsday.exe' But i just get errors saying things like "Can't find country.csv" etc. I had installed both games on my windows machine, and simply copied the install