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> On Aug 14, 2017, at 5:17 AM, peter dalgaard <pdalgd at gmail.com> wrote: > > >> On 14 Aug 2017, at 13:43 , Spencer Graves <spencer.graves at effectivedefense.org> wrote: >> >> >> >> On 2017-08-14 5:53 AM, peter dalgaard wrote: >>>> On 14 Aug 2017, at 10:13 , Troels Ring <tring at gvdnet.dk> wrote: >>>>

Let us consider the current uniform sampling without replacement algorithm. It resides in function do_sample in https://svn.r-project.org/R/trunk/src/main/random.c Its complexity is obviously O(n), where the sample is selected from 1...n, since the algorithm has to create a vector of length n. So when the sample size is much lesser than n, the algorithm is not effective. Algorithms with

> On 14 Aug 2017, at 13:43 , Spencer Graves <spencer.graves at effectivedefense.org> wrote: > > > > On 2017-08-14 5:53 AM, peter dalgaard wrote: >>> On 14 Aug 2017, at 10:13 , Troels Ring <tring at gvdnet.dk> wrote: >>> >>> Dear friends - I hope you will accept a naive question on lm: R version 3.4.1, Windows 10 >>> >>> I

On 2017-08-14 5:53 AM, peter dalgaard wrote: >> On 14 Aug 2017, at 10:13 , Troels Ring <tring at gvdnet.dk> wrote: >> >> Dear friends - I hope you will accept a naive question on lm: R version 3.4.1, Windows 10 >> >> I have 204 "baskets" of three types corresponding to factor F, each of size from 2 to 33 containing measurements, and need to know if the

Greeting R Community, I'm trying to learn Logistic Regression on my own and am using An Introduction to Logistic Regression Analysis and Reporting (Peng, C., Lee, K., & Ingersoll, G. ,2002). This article uses a Score Test Stat as a measure of overall fit for a logistic regression model. The author calculates this statistic using SAS. I am looking for an [R] function that can compute

>>>>> Serguei Sokol <sokol at insa-toulouse.fr> >>>>> on Tue, 30 May 2017 16:01:17 +0200 writes: > Le 30/05/2017 ? 09:33, Martin Maechler a ?crit : ... >> However, even after the patch, The example from the SO >> post differs from the result of Richie Cotton's >> function... > The explanation is quite simple.

SAS has DUD (Does not Use Derivatives)/Secant Method for nonlinear regression, does R offer this option for nonlinear regression? I have read the helpfile for nls() and could not find such option, any suggestion? Thanks, Derek [[alternative HTML version deleted]]

Hi all, Looking to calculate the expected mean and variance of a ratio distribution where the source distributions are gaussian with known parameters and sample values are correlated. I see (from wikipedia: http://en.wikipedia.org/wiki/ Ratio_distribution#Gaussian_ratio_distribution) that this calculation is quite involved, so I'm hoping that someone has already coded a function to

Dear all, i am new in R. I am writing a review paper about batteries. However, i am interested in analyzing all the papers by keywords, author, references and year. This could be done by "refviz" a software, which is only running on windows machines and which is not free. So my question to you is, is it somehow possible to write a script that can do all of this work? And if yes, with

I'm not trying to create a mirror of the CRAN. I also do not want to create a "subset" of CRAN packages. Sorry if my explanation was confusing. There are internal proprietary R packages that I would like to host on a private repo. I like the CRAN web pages that allow a user to browse the various packages from a browser without having to first install them. I want to duplicate the

>>>>> Serguei Sokol <sokol at insa-toulouse.fr> >>>>> on Mon, 29 May 2017 15:28:12 +0200 writes: > Sorry, I have seen it too late that we had different tab > width in the original file and my editor. Here is the > patch with all white spaces instead of mixing tabs and > white spaces. thank you - it still gives quite a few