similar to: generalized linear mixed models with a beta distribution [Sec=Unclassified]

Hi all, I am having a problem trying to declare a slot representation to hold a file connection. With V2.8.0 I had been using: setClass("Element", representation( [other slots removed], datafileConn = setOldClass(c("file","connection")) ) ) This resulted in a warning but still ran okay. No however with V2.9.0 I am getting

Hi all, After an upgrade from R_2.10.1 to R_2.11.1 I am now getting the following error: Error: evaluation nested too deeply: infinite recursion / options(expressions=)? This occurs in the initialize method of S4 classes where I was initialising attributes eg: .Object[['realtimeState']] <- list() I can avoid this new error by altering the code to do: .Object$realtimeState <-

Hi all, When upgrading to 2.11.1 recently I noticed different results being produced by my code. After much digging I have finally narrowed it to a call to nlm(). This can be replicated by: FixedRemovals<-1836180125888 AbStageInitial<-2223033830403 Rates<- 0.3102445 nlm(function(rootM,Abund,Loss,OtherM) {(Loss-(rootM/(rootM+OtherM)* (1-exp(-(rootM+OtherM)))*

Hi, I am working on producing an R package containing mostly S4 classes and methods. I have generated and filled out all the necessary .Rd files but find that once installed I am unable to access help pages for the classes using the ?package::classname-class syntax that is suggested when using the ?? apropos search. This lists my package classes and the class help pages. Instead, the

I am new to R programming but have dived into a medium sized modelling software development project. Having come from a Java OO background I have a couple of questions about S4 objects. Is there a way to make S4 slots (and methods) private and hence force the use of accessor methods? Is there a straight-forward way to implement pass-by-reference for method parameters? I am currently

Hi all, Prefix: I am a frustrated Java coder in R. I am coding a medium sized ecosystem modelling program in R. I have changed to using S4 objects and it has cost me an order of magnitude in execution speed over the functional model. I cannot afford this penalty and have found that it is the result of all the passing-by-value of objects. I see that you can now safely inherit from

Hi asterisk-users, We have recently moved to the 13.x branch of Asterisk from 11.x, and we're trying to correlate CDR records from multiple-legs for billing purposes. As part of this change we have added 'linkedid' to our CDR table schema in an attempt to join the multiple records into one billable record. The call path can be simplified as (transport types in brackets): SIP

Hi All This is a general stats problem that I am dealing with using R, so any help is greater appreciated. I have two lognormal distributions with means M1 and M2. If we have: H0: log(M1/M2)=0 H1: log(M1/M2) !=0 equivalent to log(M1/M2)=log(1+P) where P<0 or P>0. If we calculate the power for a value of P=0.1 or P=-0.1 (i.e. a 10% difference) and say assume SE{log(M1/M2)}=0.05, and

I am having trouble declaring a slot of type "connection" or "file" in which to store a file connection. I get a warning message when class definition is loaded: In .completeClassSlots(ClassDef, where) : undefined slot classes in definition of "Element": datafileConn(class "file") Can anyone suggest what type I should be using for the slot. Type

Hi, Is it possible to have non-authenticating shares on an server with security=ADS ? I have a RHEL server, with Centrify Express, and joined to a domain, but I would like to have a samba share that doesn't request a username/password for machines not on the domain. When I have a plain windows XP machine (not on the domain) attempt to connect, I get asked for a username/password. Is

Hi, Is it possible to have non-authenticating shares on an server with security=ADS ? I have a RHEL server, with Centrify Express, and joined to a domain, but I would like to have a samba share that doesn't request a username/password for machines not on the domain. When I have a plain windows XP machine (not on the domain) attempt to connect, I get asked for a username/password. Is

Hi all, Using R v2.7.1, platform i386-pc-mingw32 Can someone please shed some light on the behaviour of ifelse() for me? My intent is to calc relative proportions of z$b, at the same time subsetting z$b based on z$a. I could attack the problem other ways (suggestions welcome) but I am also intrigued by the _order_ in which ifelse seems to assign values, and how recycling works. For instance,

Hi all, Just thought I'd update this thread in case anyone else is Googling trying to find out how to do this... I found the solution to my problem to be to use the IAXVAR() function to pass the accountcode between the Asterisk boxen and update the CHANNEL(accountcode) with that variable. Thanks to Richard @ Digium for the reply that clarified my misunderstanding. Calum On Wed, 2018-10-03

Dear list, I'm trying to mimic the analysis of Wedderburn (1974) as cited by McCullagh and Nelder (1989) on p.328-332. This is the leaf-blotch on barley example, and the data is available in the `faraway' package. Wedderburn suggested using the variance function mu^2(1-mu)^2. This variance function isn't readily available in R's `quasi' family object, but it seems to me

Hi All I'm fairly new at R so there might be on obvious solution to my problem with calling the lattice function xyplot( ) from my own function. The function script is given below. The problem is that the xyplot() call does not do anything! I just get a blank graphics window and no error messages. The simple plot() function call works fine when not commented out so I know the data is

I wonder if someone has tried to implement the hierarchical generalized linear model (HGLM) approach of Lee and Nelder (JRSSB, 1996, 58: 619-56) in R. Thanks in advance. Emmanuel Paradis At 17:18 01/04/02 +0100, ripley at stats.ox.ac.uk wrote: >On Mon, 1 Apr 2002, Jason Liao wrote: > >> Happy new month, everyone! >> >> I am planning to write a NIH grant proposal to study

I don't know much about GLM in general or glm in R. Can anyone tell me how to do the following (in R or some other stat system) or refer me to a textbook discussion? Two factor ANOVA repeated measures design. Each subject gives a percent correct. I am assuming the correct way to proceed is to fit a generalized linear model with binomial responses and logistic link. But I have not found a

Hi, I tried to google for any solution for asof join operator in R. But I couldn't find one. The asof join operator AsOf(A,B) merges 2 time series by looking for latest available value of B prior to each time point in A. For example, A <- xts(c(10,15,20,25), order.by=as.POSIXct(c("2011-09-01","2011-09-09","2011-09-10","2011-09-15")) B <-

Full_Name: Sascha Frydman Version: 2.1.0 OS: Windows XP Submission from: (NULL) (147.66.131.10) when Esc is pressed while a plot with locator running has the focus, R crashes. eg. plot(1) locator(1) I am running in SDI mode

Hello all, I have a *.csv file that looks like this (actual file is orders of magnitude larger): Site taxa no.ind forest LMA 1 forest LCY 1 forest SCO 1 meadow LMA 2 meadow LCY 1 meadow PNT