search for: boostrap

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, fun,...) } where...

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, I was wondering whether this query was addressed on how to perform validation through boostrapping. I am currently trying to implement a boostrapping approach to validation but don't know where to start. Help please. Thank you and Regards, Vivienne Ozohili Risk Model Validation Manager Group Risk Independent Control Unit A5, Bank of Ireland Head Office Lower Baggot Street Dublin 2 Tel...

...il, > > Are you running this regularly? Do you know which commit regressed? Or at > least a window? > > Unfortunately, we don't have Cortex-A8 buildbots, but this is something I > want to do, if there is enough interest in the community. > I was using a 1 week old clang to boostrap, switched to gcc and the bug gone away. Now I'll boostrap again with the new clang to see if the regression is there or not. Regards. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20131008/4112438a/attac...

...ent. Is it possible to do this and obtain multiple estimations which I can go on to test? Im pretty new to R and struggling to get codes to work. Any advice or to be pointed in the right direction would be much appreciated. Cheers :) -- View this message in context: http://r.789695.n4.nabble.com/boostrap-an-nls-regression-tp3257974p3257974.html Sent from the R help mailing list archive at Nabble.com.

Hi, I want to permutate the following matrix and replace permutated columns. Is it possible to control the number of columns permutated. Let's say I only want to permute two columns. Can i do that with the sample method or should i any bootstrapping method ?? I'm not sure this is the best statisticaly way of doing it...?? So the idea behind is to ramdonly generate 1000 permutated

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

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 -> l...

On 8 October 2013 14:01, İsmail Dönmez <ismail at donmez.ws> wrote: > I was using a 1 week old clang to boostrap, switched to gcc and the bug > gone away. Now I'll boostrap again with the new clang to see if the > regression is there or not. > Are you using LLVM's own release scripts to bootstrap (utils/release/test-release.sh)? You can also try the ones I wrote in the past ( http://people....

...Suggestion is not clear answer. How such a decision taken? Is there a board of > > people which have to vote to valid the choice of minimal gcc (and clang) version > > effective? > > We don't have such process, unfortunately. :) > > > > If gcc 4.7 (last 1-step C boostrap-able c++-ish compiler) is phased out, then, > > to bootstrap llvm from a C compiler/runtime, gcc(4.7.4) + gcc(version>=4.8) > > will have to be setup first. > > I want to understand your constraints, as I think this is a unique > case that I wasn't considering. It'...

Dear all, Does someone know an R function implementing the method of Sison and Glaz (1995) (see full ref below) for computing Simultaneous confidence intervals for multinomial proportions? As alternative method, I think to boostrap the mean of each proportion and get in that way confidence interval of the mean. I observed 21 times a response that could be one out of 8 categories (multinomial response). I computed the proportions for every categories. I did it independently 12 times. Hence I have 12 replicats for each prop...

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

...not clear answer. How such a decision taken? Is there a board of people which have to vote to valid the choice of minimal gcc (and clang) version effective? Because, currently, the LTO lib caching code (and certainly more as Teresa Johnson pointed out) should be patched. If gcc 4.7 (last 1-step C boostrap-able c++-ish compiler) is phased out, then, to bootstrap llvm from a C compiler/runtime, gcc(4.7.4) + gcc(version>=4.8) will have to be setup first. -- Sylvain

...ed axis, the loadings for the second bootstrapped axis and use to estimate the confidence interval for the original first PC axis. 4) Determine the p value for each loading. Obtained as follow: number of loadings >=0 for loadings that were positive in the original matrix divided by the number of boostrap samples (1000) and/or number of loadings =<0 for loadings that were negative in the original matrix divided by the number of boostrap samples (1000). Thanks again J?r?me Lema?tre ?tudiant au doctorat Chaire Industrielle Sylvicuture-Faune, For?t Bor?ale, C?te-Nord & D?partement de biolog...

...inally /bootmgfw.efi to which the server replies "Option Acknowlegement, tsize\000=1604952\000, blksize\000=1408\000 and then the client says "Error Code, Code: Not defined, Message: No error, file close" If I rename bootmgfw.efi -> bootmgfw.0 and try again: "Too large for a boostrap (need LINUX instead of KERNEL?)" [note: found a typo - boostrap / bootstrap] Even if I try to chain to another (windows WDS) server and type ".pxe y.y.y.y::boot\x64\bootmgfw.efi" - I get nothing, just back to the boot: prompt, and no acknowledgement on the WDS TFTP server logs I g...

...axis, the loadings for the second bootstrapped axis and use to estimate the confidence interval for the original first PC axis. 4) Determine the p value for each loading. Obtained as follow: number of loadings >=0 for loadings that were positive in the original matrix divided by the number of boostrap samples (1000) and/or number of loadings =<0 for loadings that were negative in the original matrix divided by the number of boostrap samples (1000)." (see https://stat.ethz.ch/pipermail/r-help/2005-January/065139.html ). The suggested solution (by Jari Oksanen) was function (x, permu...

...redes neuronales ( y el deep learning) pero no consigo entender el tipo de operaciones que se hacen en cada una de las capas de las redes neuronales. Necesito alguna explicacion más para tontos. ¿Alguien entiende bien lo que hace una red neuronal? Por ejemplo, un randomForest hace el ensamble por boostrap de árbole sde clasificación. Un SVM crea hiperplanos separando zonas, y una red neuronal hace "operaciones" en las capas, y les va asignando pesos, ¿pero uqe transformaciones? Gracias!!! [[alternative HTML version deleted]]

...d many different combinations of flags and gcc compiler, but have not been able to build successfully. Currently, this is the command that I used to build on Ubuntu 10.10: ../llvm-gcc-4.2-2.8.source/configure --enable-llvm=/home/ghoang/research/llvm/llvm-objects --enable-languages=c,c++ --disable-boostrap --disable-multilib --disable-threads --target=alpha-linux --prefix=/home/ghoang/research/llvm/llvm-gcc-bin --with-as=/opt/crosstool/gcc-4.2.4-glibc-2.3.6/alpha-unknown-linux-gnu/alpha-unknown-linux-gnu/bin/as --with-ld=/opt/crosstool/gcc-4.2.4-glibc-2.3.6/alpha-unknown-linux-gnu/alpha-unknown-linux...