similar to: boostrap an nls regression

bonjour, je voudrais savoir s'il serait possible de sugg?rer aux d?veloppeurs de R de proposer une option suppl?mentaire pour les moustaches, ? savoir les placer sur d1 et d9 comme c'est pr?conis? dans les programmes du secondaire en France, option du style boxplot (serie,range=91) par exemple... i would like to know if it is possible to have (with the agrement of developpers)

Hi, we are still trying to properly connect a Tenovis PBX to an Asterisk server (asterisk 1.2.6, libpri 1.2.2, zaptel 1.2.5, Digium Wildcard TE110P), this time with QSIG. Calling from a Tenovis phone to a SIP phone (i.e. traditional phone -> Tenovis PBX -> QSIG -> Asterisk -> SIP phone) works with the following messages: --- Don't know what to do if second ROSE component is of

Hello To update from R 2.6 to 2.8 (on Ubuntu 8.04 both) I had to install new tcl and liblapack packages (excuse me it is in french): > sudo apt-get install r-base-dev > Lecture des listes de paquets... Fait > Construction de l'arbre des d?pendances > Lecture des informations d'?tat... Fait > Les paquets suppl?mentaires suivants seront install?s : >

Dear R-Users, we are using a linux-cluster with RMPI and the snow package. We would like to do a double boostrap. We have a general function that implements the first boostrap (the outer) and we are wondering if we can include another bootstrap (the inner) in the same general function including another clusterApplyLB. For example: general function = function(...) { clusterApplyLB(cl,

Hi Does anyone know whether the rms package provides a confidence interval for the bootstrap-corrected Dxy or c-index? I have fitted a logistic model, and would like to obtain the 95% confidence interval of the bootstrap-corrected area under the ROC curve estimate. Thanks. [[alternative HTML version deleted]]

Hi, I am an astronomer and somewhat new to boostrap statistics. I understand the basic idea of bootstrap resampling, but am uncertain if it would be useful in my case or not. My problem consists of maximizing a likelihood function based on the velocities of a number of stars. My assumed distribution of velocities of these stars is:

Hi, Is there any working script, similar to deboostrap, for CentOS 5? I have found rpmstrap [1] at RPMforge.. but only works for CentOS-4, and appears that's out of date. thanks! [1] http://dag.wieers.com/rpm/packages/rpmstrap/ -- Santi Saez http://woop.es

Hello All, Despite my preference for reporting confidence intervals, I need to obtain a p-value for a hypothesis test in the context of regression using bootstrapping. I have read John Fox's chapter on bootstrapping regression models and have consulted Efron & Tibshirani's "An Introduction to the Bootstrap" but I just wanted to ask the experts here for some feedback to make

Hello, I'm using R code that includes a residual permutation that was written as a supplement to the paper: Turner et al. 2010. A general hypothesis-testing framework for stable isotopes ratios in ecological studies. Ecology 91:2227-2233. The supplemental code is available at: http://www.esapubs.org/archive/ecol/E091/157/suppl-1.htm When I execute the function, no warnings are given

This might be easy but I'm very new to R and this question doesn't seem to have any nice keywords that bring up relevant search results when I search the CRAN search engine. Therefore, I'll plead (as I have in the recent past) Newbie status. I have a data frame with two factors (Factor 1 and 2) which together specify another unique level. I want to create a third factor in the

Hello, I discovered SAGA, an interesting free GIS, a few days ago and now, I would like to use it from within R 2.6.2 using the RSAGA package. I read the documentation for this package and thought that I understood it correctly for trying to call some of the SAGA modules. For getting the information on the usage of and arguments required by the SAGA command line "Import Binary Raw

Dear R-help users, I am trying to analyze some visual transect data of organisms to generate a habitat distribution model. Once organisms are sighted, they are followed as point data is collected at a given time interval. Because of the autocorrelation among these "follows," I wish to utilize a GAM-GEE approach similar to that of Pirotta et al. 2011, using packages 'yags' and

On Apr 27, 2007, at 3:50 PM, David Greene wrote: > The saga continues. > > I've been tracking the interface changes and merging them with > the refactoring work I'm doing. I got as far as building stage3 > of llvm-gcc but the object files from stage2 and stage3 differ: > > > warning: ./cc1-checksum.o differs > warning: ./cc1plus-checksum.o differs > >

Dear R-helpers, a S-code for piecewise regressions was provided by Toms & Lesperance (2003) Ecology, 84, 2034-2041 (paper can be found on the web).The code is quite complete with different types of transitions around breakpoints and model selection fonctions. It doesn't work directly under R due to some "translation" problems I guess. However I reckon that it would be a

Salut Alex. En fait je me suis rendu compte de mon erreur à propos de "HSCROLL", ça marche correctement. La scrollbarre apparaît et fonctionne bien. La dernière fois j''ai eu l''impression qu''elle ne marchait pas, car cela peut arriver que la dernière lettre de la ligne de charactères qui s''affiche soit un peu coupée par la "VSCROLL".

Dear R experts, I was wondering if there are any R functions that give the tail area of a sum of chisquare distributions of the type: a_1 X_1 + a_2 X_2 where a_1 and a_2 are constants and X_1 and X_2 are independent chi-square variables with different degrees of freedom. Thanks, Klaus -- "Feel free" - 5 GB Mailbox, 50 FreeSMS/Monat ...

The saga continues. I've been tracking the interface changes and merging them with the refactoring work I'm doing. I got as far as building stage3 of llvm-gcc but the object files from stage2 and stage3 differ: warning: ./cc1-checksum.o differs warning: ./cc1plus-checksum.o differs (Are the above two ok?) The list below is clearly bad. I think it's every object file in the

As this forum proved to be very helpful, I got another question... I'd like to fit data points on which I have an error, dx and dy, on each x and y. What would be the common procedure to fit this data by a linear model taking into account uncertainty on each point? Would weighting each point by 1/sqrt(dx2+dy2) (and taking dx and dy as relative errors) in a lm() fit do the job? I would like to

Hi list I'm attempting to list windows shared printers in Unix. That's really all that I need and I can't install Samba on the machine I need to list the shared printers from. I started analyzing the smbclient code hoping to extract the necessary info but as you all know it's a daunting task. Certainly for a C novice. Which is why I want to ask if there is anyone out there who

I have a dataset which for the sake of simplicity has two endpoints. We would like to test if two different end-points have the same eventual meaning. To try and take an example that people might understand better: Lets assume we had a group of subjects who all received a treatment. The could stop treatment for any reason (side effects, treatment stops working etc). Getting that data is very