similar to: unexpected result in glm (family=poisson) for data with an only zero response in one factor

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi, I''m a rails newbie trying to develop a blog application with rails. I''ve some troubles to find the best way of automaticly set a field value on update and creation of a blog item. In fact my problem is very simple. I''ve a blog table with two column named create_date an mod_date. And I''d like : 1 - that

Hello everybody, sorry for stupid qustion, but I have following problem: I succesfully installed Dovecot on Debian (from source). Now I want to run it. I tryed: # /usr/local/dovecot/sbin/dovecot # but nothing happened: # ps -Af | grep dove ....... ps -Af | grep dove # What is wrong? I want Dovecot to serve POP3 over SSL. Many thanks and sorry again :o)

Hello, Here is one question regarding the LLVM TableGen: Which file in the llvm/lib/Target/X86 folder describes how the bits in the EFLAGS register are modified by the x86 instructions? For example, in the "X86InstrInfo.td" file, lines 2134-2135, it says: let SchedRW = [WriteALU], Defs = [EFLAGS], Uses = [EFLAGS] in { def CLC : I<0xF8, RawFrm, (outs), (ins), "clc",

Hello! I interest of using Perl for application of biostatistcs with R. I find your module on the cpan's site. But, I've a question: Could I use it with Mac OS X? Because I have this error: "Error: no suitable installation target found for package Statistics-R." If it's not possible with this script, how can I modify it ? Thanks a lot in advance!!! Beline

Hello, Using LLVM+clang to do some static analysis, I face some issues due to the fact that when manipulating arrays that are global variables, IR getelementptr instructions seem to be somehow inlined. For example: int a[256]; int main() {     a[0] = 1; } gives as a result the following IR code (with clang+llvm 8, without any flag). @a = common dso_local global [256 x i32]

Hello, I am new to R and have tried to search similar questions but could not find exactly what I am looking for, but I apologize if the question was already asked. I have 10 different treatments and want to know whether they affect the sex ratios of insect emergence. After running the glms I got this table: Df Deviance Resid. Df Resid. Dev F Pr(>F) NULL

plot(1,2, ylab= paste("insects", expression(m^2), sep=" ")) I get insects m^2 I would like m to the 2 what is the problem? -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being

Hi, I have a small simple data frame (attached) - to compare diversity of insects encountered in disturbed and unditurbed site. What i have is the count of insects - the total number of times they were encountered over 30 monitoring slots. Can someone please check for me to make sure how the 'community data matrix' for the diversity function needs to be oriented so that i'm

Hi, If I have the follow situation: A dependent variable (i.e. number of insects) that is affected by an independent variable (i.e. rain). The problem is that the measure of rain affect the population in other moment. So there exit a lag between the rain and the number of insects. Exist in R any tool to find what is this lag? Explain better. Suppose that I have a linear relationship

Hi, I''m trying to make run a simple shaping *through HTB*. I have compiled a new kernel 2.4.21. First command from http://luxik.cdi.cz/~devik/qos/htb/manual/userg.htm said: # tc qdisc add dev eth0 root handle 1: htb default 12 RTNETLINK answers: Invalid argument I tryed both standard tc from Debian stable and http://luxik.cdi.cz/~devik/qos/htb/v2/tc.gz this one... I tryed

I'm very new to R and modeling but need some help with visualization of glms. I'd like to make a graph of my glms to visualize the different effects of different parameters. I've got a binary response variable (bird sightings) and use binomial glms. The 'main' response variable is a measure of distance to a track and the parameters I'm testing for are vegetation

hi, ? i have recently installed a samba 4 in a DC role. The distribution is a debian jessie/sid, the version of samba is 4.1.7. The server is globally working but there is some litle trouble. on the server itself, i can do a kinit without probleme but if i try a kpasswsd, i obtain the following ? root at station:/var/log/samba# kinit Password for administrator at TOTO.FR: root at

Dear Sir or Madam, I am in 2nd year of my PhD in bioinformatics, after taking my Master?s in computer science, and have been using R heavily during my PhD. As such, I have put together a list of certain features in R that, in my opinion, would be beneficial to add, or could be improved. The first two are already implemented in packages, but given that it is implemented as user-defined operators,

I'm very new to R and modeling but need some help with visualization of glms. I'd like to make a graph of my glms to visualize the different effects of different parameters. I've got a binary response variable (bird sightings) and use binomial glms. The 'main' response variable is a measure of distance to a track and the parameters I'm testing for are vegetation parameters

Thanks for the answers, I?m aware of the ?.? option, just wanted to give a very simple example. But the lapply ??' parameter use has eluded me and thanks for enlightening me. What do you mean by messing up the call stack. As far as I understand it, piping should translate into same code as deep nesting. So then I only see a tiny downside for debugging here. No loss of time/space efficiency

Hi all, having by mistake deleting some of my users, i have allmost raise them from dead by doing ldbrename -H /var/lib/samba/private/sam.ldb CN=titi toto\0ADEL:63c1e1b1-09ea-4fd7-8a95-c68a82fd92a2,CN=Deleted Objects,DC=local,DC=domain,DC=fr "CN=titi toto,OU=here-here,DC=ietr,DC=univ-rennes1,DC=fr" and adding the missing property by using an old ldb backup. BUT some property are

Dear all, How can I analyze a life table (e.g. for a cohort of insects) in R? I have 20 insects in 200 cages with two different treatments, whose survival is followed over time, such that, e.g., in one treatment, the number of animals surviving is c(20,18,16,12,10,8,4,0), while in the other treatment the survival is c(20,20,18,18,16,15,15,14) at 8 subsequent time intervals. I would very

Dear friends, After fitting a generalized linear models ,i hope to get the variance of alpha,variance of beta and their covariance, that is , the variance-covariance matrix/information of alpha and beta , suppose *B* is the object of GLMs, i use attributes(B) to look for the options ,but can't find it, anybody knows how to get it? > attributes(B) $names [1] "coefficients"

My data have heterogeneity of variance (in a categorical variable), do I need to specify a variance structure accounting for this in my model or do GLMMs by their nature account for such heterogeneity (as a result of using deviances rather than variances)? And if I do need to do this, how do I do it (e.g. using something like the VarIdent function in nlme) and in what package? This is my first

V&R describes binomial GLMs with mortality out of 20 budworms. Is it appropriate to use the same approach with mortality out of numbers as low as 3? I feel reticent to do so with data that is not very continuous. There are one continuous and one categorical independent variables. Would it be more appropriate to treat the response as an ordered factor with four levels? If so, what family