similar to: Issue with gc() on Ubuntu 20.04

On Sun, 27 Aug 2023 19:54:23 +0100 John Logsdon <j.logsdon at quantex-research.com> wrote: > Not so although it did lower the gc() time to 95.84%. > > This was on a 16 core Threadripper 1950X box so I was intending to > use library parallel but I tried it on my lowly windows box that is > years old and got it down to 88.07%. Does the Windows box have the same version of R

Hi, the functions in distn.R were converted from .Internal to .External ([1], in 2012), and to .Call ([2], in 2014). They are still listed as .Internal in names.c, although they are not used in that way. Shouldn?t they be removed? There?s quite some simplification to be had, e.g., do_math3 could go away and do_math2 would be simpler. If that makes sense (I may be missing something?), I?d be

Hi all, I would like to estimate power and necessary sample size for a GLM with a response variable that has a poisson distribution. Do you have any suggestions for how I can do this in R? Thank you for your help. Sincerely, Craig -- Craig A. Faulhaber Department of Forest, Range, and Wildlife Sciences Utah State University 5230 Old Main Hill Logan, UT 84322 (435)797-3892

Hi, I have a right-censored (positive) random variable (e.g. failure times subject to right censoring) that is observed for N subjects: Y_i, I = 1, 2, ..., N. Note that Y_i = min(T_i, C_i), where T_i is the true failure time and C_i is the censored time. Let us assume that C_i is independent of T_i. Now, I would like to generate another random variable U_i, I = 1, 2, ..., N, which is

Hi R-devels, I noticed that for the scheduled R 2.3.0, there is still no function df() for non-centrality != 0. Easter is quickly approaching, so as my little gift, I would like to offer you some code to fill this gap: After excluding some "unusual" cases, it amounts to differentiating the corresponding function pnf() --- which in turn leads to the function dnbeta() already available

Hi, I believe I have significantly improved [dpq]wilcox functions by implementing Harding's algorithm: Harding, E.F. (1984): An Efficient, Minimal-storage Procedure for Calculating the Mann-Whitney U, Generalized U and Similar Distributions, App. Statist., 33, 1-6 Results on my computer show (against R-2.9.1): > system.time( dwilcox( 800, 800, 80) ) user system elapsed 0.240

for learning purposes and also to help someone, i used roger peng's document to get the mle's of the gamma where the gamma is defined as f(y_i) = (1/gammafunction(shape)) * (scale^shape) * (y_i^(shape-1)) * exp(-scale*y_i) ( i'm defining the scale as lambda rather than 1/lambda. various books define it differently ). i found the likelihood to be n*shape*log(scale) +

On 2015-10-15 15:02, Prof Brian Ripley wrote: > On 15/10/2015 13:32, Michael Felt wrote: >> Hi. >> >> Just wanted to let you know I am getting close to packaging R for AIX in rephrase - would like to be active in keeping R binaries current for AIX. My interest in not in R per se (rather a colleague who has a project that uses R, so I hope to assist him, and others like him).

There is a problem with `rpois'. It does seem to take care about the order of the arguments. This is an example: > rpois(n=1,lambda=2) [1] 3 > rpois(lambda=2,n=1) [1] 2 0 It obviously uses the first argument as the number of samples to be drawn, which is wrong. I used Version 0.49 Beta (April 23, 1997). Fredrik

There is a problem with `rpois'. It does seem to take care about the order of the arguments. This is an example: > rpois(n=1,lambda=2) [1] 3 > rpois(lambda=2,n=1) [1] 2 0 It obviously uses the first argument as the number of samples to be drawn, which is wrong. I used Version 0.49 Beta (April 23, 1997). Fredrik

Hi, I've written some C code for density evaluation of the non-central t distribution. It works with the R-1.7.1 source code if placed in the src/nmath directory and after appropriate changes are made to Makefiles, to the dt function in src/library/base/R/distn.R etc. I haven't read a lot of R source code so it may need some R-ification, but I've tried to use the dt.c file as a

Hi list, Does anyone know the code behind rlnorm(n, meanlog = 0, sdlog = 1)? I am going to write it in c#. thanks Alireza [[alternative HTML version deleted]]

Hello all, I need to imitate the 'q' function (qnorm, qweibull, etc) for Clark's 2Dt distribution model. I'm not skilled enough in R to code it myself, so I thought I could find the base code for one of the existing 'q' functions and just modify it. However, I'm having trouble navigating through the R Source Code on the CRAN website. I've searched some forum and

Dear R users: I was trying to fit a HMM with mixture of Gaussian into the dataset, and I tried to implement it by R2Winbugs. But I got the following errer. * Error in FUN(X[[1L]], ...) : .C(..): 'type' must be "real" for this format* Does anybody know what's the problem? Does R2Winbugs accept some matrix as inits? I would really appreciate your help. Thank you very much.

I fitted a GAM model with Poisson distribution using the function gam() in the mgcv package. My model is of the form: mod<-gam(y~s(x0)+s(x1)+s(x2),family=poisson). To extract estimates at a specified set of covariate values I used the gam `predict' method. But I want to get estimate and standard error of the difference of two fitted values. Can someone explain what should I do? Thank

Craig, Thanks for your follow-up note on using the asypow package. My problem was not only constructing the "constraints" vector but, for my particular situation (Poisson regression, two groups, sample sizes of (1081,3180), I get very different results using asypow package compared to my other (home grown) approaches. library(asypow) pois.mean<-c(0.0065,0.0003) info.pois <-

On 4 April 2019 at 17:28, ivo welch wrote: | The following program is whittled down from a much larger program that | always works on Intel, and always works on AMD's threadripper with | lapply but not mclappy. With mclapply on AMD, all processes go into | "suspend" mode and the program then hangs. This bug is replicable on an | AMD Ryzen Threadripper 2950X 16-Core Processor (128GB

The following program is whittled down from a much larger program that always works on Intel, and always works on AMD's threadripper with lapply but not mclappy. With mclapply on AMD, all processes go into "suspend" mode and the program then hangs. This bug is replicable on an AMD Ryzen Threadripper 2950X 16-Core Processor (128GB RAM), running latest ubuntu 18.04. The R version

Hello every body, I am trying to do a factorial anova analysis following this model: model<-anova(lm(responsevariable~factorA*factorB)) model<-anova(lm(luz$dosel~luz$estado*luz$Bosque)) Df Sum Sq Mean Sq F value Pr(>F) estado 1 6931.1 6931.1 41.6455 7.974e-06 *** Bosque 1 36.6 36.6 0.2197 0.6456 estado:Bosque 1 36.6 36.6 0.2197 0.6456 Residuals

Hi,I am currently doing a project in which we are to investigate the size and power of three different one sample tests over three different distributions using a number of different sample sizes and values for mu1. I have written a function and was trying to get my answer for each test into the right position in an array so the output is the power of each combination of test, distribution, sample