similar to: ANOVA & BOOTSTRAP

Dear users, I'm trying to implement the nonparametric "two-stage" bootstrap (Davison and Hinkley 1997, pag 100-102) in R. As far as I understood, 'bootcov' is the most appropriate method to implement NONPARAMETRIC bootstrap in R when you have clustered data (?). I read the 'bootcov' manual but I still have a few questions: 1 - When the variable 'cluster' is

I am debugging some code and found a function that returns and error most of the time. I have issolated the problem to when it raises an argument to the 1/3 power but for the life of me I can not figure out why it is not working. i have gone through the FAQs and have found nothing (not to say I might have missed something). I am highly embarrased with my inability find the problem (my face is

Hello all, Since a migration from dovecot 1.rc16 to Dovecot 1.0.1 + new server, every day I have a lot of errors like this : Jun 21 17:42:34 dovecot1 deliver(damien.chambe at egs-gestion.fr): msgid=<467A9B3E.5070605 at egs-gestion.fr>: saved mail to INBOX Jun 21 17:42:34 dovecot1 postfix/pipe[10242]: 92DD11FA8B: to=<damien.chambe at egs-gestion.fr>, relay=dovecot, delay=0,

Hello all, Since my migration to SUSE SLES 10, I have a new error message : dovecot1 dovecot: IMAP(damien.chambe at egs-gestion.fr): inotify_init() failed: Too many open files It seems to occurs when thunderbird is idle, or when I click on sub folders I have a ulimit for open files a bit low, 1024 I have changed to 4096, but same error message. It has no visible consequences. I am on dovecot

I'm looking forward to your patches and bug reports. I really want to get this going myself. -----Original Message----- From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] On Behalf Of Anton Korobeynikov Sent: Wednesday, May 10, 2006 1:22 PM To: LLVM Developers Mailing List Subject: [LLVMdev] Successfulyl bootsrapped llvm-gcc4 on mingw32 Hello, Everyone. Today

Bonjour, Quelqu'un pourrait m'aider avec le code R pour estimer les mod?les ? ?quations structurelles via l'approche PLS,int?grer des variables mod?ratrices et m?diatrices et afficher les graphique simultan? des mod?les interne et de mesure? Cdt. [[alternative HTML version deleted]]

Dear R users, I?m student of Master in Statistic and Data analysis, in New University of Lisbon. And now i?m writting my dissertation in variance estimation.So i?m using Survey Package to compute the principal estimators and theirs variances. My data is from Incoming and Expendire Survey. This is stratified Multi-stage Survey care out by National Statistic Institute of Mozambique. My domain of

Dear Yaya You will get more responses if you can post in English which is the language of the list. If you want advice about package choice you need to tell us what packages you have considered and rejected. You would also benefit from searching the CRAN Task Views - possibly the Psychometrics one might help you. If you want someone to send you code, as appears from your mail, you are out

In my previous mail, I was asking help to fit structural equations models by using Partial Least Square (PLS) approch.I have used package plspm. I want to know how to manage moderating and mediating variables. I also want to show simultanously the graph of internal model and measurement model. Thks. Le jeudi 10 mai 2018 ? 15:42:46 UTC, Michael Dewey <lists at dewey.myzen.co.uk> a ?crit :

Forgive me if this isn't relevant, but: are you stripping off the output you need (e.g., parameter estimates) and throwing away what you don't (e.g., residuals)? Reid Huntsinger -----Original Message----- From: Saikat DebRoy [mailto:saikat at stat.wisc.edu] Sent: Wednesday, March 21, 2001 12:15 PM To: Han Lai Cc: R-help Subject: Re: [R] Is there any help for "Cannot allocate vector

Hi, The problem is modern c++. I can have a reasonable system boostrape-ed with (tinycc/alternative C compiler), but only in the gcc world since a modern c++ compiler is only bootsrape-able from near any C compiler there. clang and llvm are unable to do it. That why I would need to get 2 gccs: "any C compiler" -> gcc 4.7.4 -> gcc recent_version -> llvm. On Fri, Oct 14, 2016 at

Not so much an R question, as a methodology one... Dealing with some reviewers comments, one of the reviewers suggests bootstrapping my group means and standard deviations since 2 of my 3 groups have a small sample size. My data is geochemical data, and a variety of clustering methods finds 3 groups in the data. One group has 50 members, another group has 10 members and another group 12

Just for the interest of discussion, I find it completely weird and interesting that GCC needs to build itself 3 times to fully bootstrap. Has there been any interest in looking at a single compile build? I don't exactly know the limitations, but my naive thinking is that C++14 compiler source parsed by C++14 capable compiler and codegen'd to C99 (or older) source should make it compilable

Hello, Everyone. Today I've finished digging into llvm-gcc4 in order to build in under mingw32. The most trickiest was to make libstdc++ build, since its configure & makefiles are not so perfect as main gcc ones. There are several problems with inline assemler (in two places at least), but both of them are easily seen. Also, there are some compiler crashes while compiling libiberty (with

Hello, I have running xen over a debian server (debian sarge). Now I would like to configure a domU with redhat (AS 4), do you now any way to install it? -- Angel L. Mateo Martínez Sección de Telemática Área de Tecnologías de la Información _o) y las Comunicaciones Aplicadas (ATICA) / \\ http://www.um.es/atica _(___V Tfo: 968367590 Fax: 968398337

Hi, I have data for one dependent variable and multiple independent variables y = b0 + b1*x1 + b2*x2 + ... I want to a list of all models that have some subset of the independents (just x1 x2, and not x3, etc.) and their corresponding BIC values. Is there a pre-existing function that does this? I saw that you can calculate individual BIC values using 'lm' and something like AIC(lm1, k

Dear Group, could anyone tell me how to perform a binary logistic regression with R? The data includes 4 continuous independents and I aim at forward-, backward-, as well as inclusion analyses. Does any other model than "glm" exist within R for this purpose? Does anyone have R-experience with such or similar analysis? Appreciate any help, thanks! M. Pham Department for

Howdo folks, So I have my data (attached). There are two columns I'm interested in; "algname" and "dur". I'd like to know how dur changes with algname. algname is nominal and there are 7 possibilities. There are two more nominal independents, "task" and "id", so my model is: dur ~ algname+task+id From the research I've done, a TukeyHSD

Hello, I am trying to obtain f-values for response (independent) variables from a CCA performed in vegan package, to see which ones of them have significative influence in my dependent variables (like the manual selection in canoco), but I can't find any function (or package) that do such a thing. The dependents variables are species data, and the independents are ambiental data. Than you.

*Dear R-help: My name is Rodrigo and I have a question with nlme package in R to fit a mixed beta regression model. The details of the model are: Suppose that:* *j in {1, ..., J}* *(level 1)* *i in {1, ..., n_j}* *(level 2)* *y_{ij} ~ Beta(mu_{ij} * phi_{ij}; (1 - mu_{ij}) * phi_{ij}) y_{ij} = mu_{ij} + w_{ij} * *with* *logit(mu_{ij}) = Beta_{0i} + Beta_{1i} * x1_{ij} + b2 * x2_{ij}