similar to: Mystifying SEGFAULT on 3.2.3 but not 3.2.2

Gert, On 16 December 2015 at 12:06, Gert van Valkenhoef wrote: | I recently upgraded to 3.2.3 and am getting mystifying errors with my | in-development code (available at | https://github.com/gertvv/gemtc/tree/feature/regression). Every few hundred | LPs that I solve using the rcdd package will result in a SEGFAULT in the | garbage collector (address 0x10, cause 'memory not mapped') or an

Hi,I want codes that could help me do NMA from the data. I would appreciate if you could give a dummy table with which I could practice the codes that would help read the data and calculateOdds ratio (OR) Mean difference (MD) forest plot Density plot of posterior samples Estimates of ranks probabilities Rank probabilities plot (rankogram)? Network plots? The manual by?Gert van Valkenhoef is

This is not a free consulting service. You are expected to put in the work yourself and **may** receive help here if you have specific questions that you need help with when you do so. See the posting guide linked below for details. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley

This aside, there is the R-sig-meta-analysis mailing list where this probably belongs: https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis Best, Wolfgang >-----Original Message----- >From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Bert >Gunter >Sent: Thursday, 15 February, 2018 16:49 >To: shaju jacob >Cc: R-help >Subject: Re: [R] Codes to conduct

I would like to generate pseudo-random numbers between two numbers using R, up to a given distribution, for instance, rnorm. That is something like rnorm(HowMany,Min,Max,mean,sd) over rnorm(HowMany,mean,sd). I am wondering if dnorm(runif(HowMany, Min, Max), mean, sd) is good. Any idea? Thanks. -james

Setting enviroment variable R_DEFAULT_DEVICE causes an error. The patch below fixes this. I guess the same goes for R_INTERACTIVE_DEVICE. --- R-2.7.0/src/library/grDevices/R/zzz.R 2008-04-27 13:49:11.000000000 +0200 +++ R-2.7.0/src/library/grDevices/R/zzz.R.new 2008-04-27 13:59:37.000000000 +0200 @@ -22,7 +22,7 @@ extras <- if(.Platform$OS.type == "windows")

'make check' fails on d-p-q-r-tests: > ##-- non central Chi^2 : > xB <- c(2000,1e6,1e50,Inf) > for(df in c(0.1, 1, 10)) + for(ncp in c(0, 1, 10, 100)) stopifnot(pchisq(xB, df=df, ncp=ncp) == 1) Error: pchisq(xB, df = df, ncp = ncp) == 1 is not all TRUE Execution halted Here is some more testing: xB <- c(2000,1e6,1e50,Inf) for(df in c(0.1, 1, 10)) for(ncp in c(0, 1,

This question is more out of curiosity than a complaint or suggestion, but I'm just wondering. The behavior of R on calculations that result in NaN seems a bit inconsistent. # this is expected: > 0/0 [1] NaN # but this gives a warning > sin(Inf) [1] NaN Warning message: In sin(Inf) : NaNs produced # and this again does not > exp(NaN) [1] NaN Conceptually, I like to think that R

Dear R-developers, In the 'lm' documentation, the '-' operator is only specified to be used with -1 (to remove the intercept from the model). However, the documentation also refers to the 'formula' help file, which indicates that it is possible to subtract any term. Indeed, the following works with no problems (the period '.' stands for 'all terms except the

Hello, * I am setting up a backup on a Linux system with Windows XP workstations. The backup goes to three alternating usb drives, each of which is NTFS formatted. The disks should be virtually identical but they do not seem to be. First, my mount command is this (I edited a bit for brevity) mount -t ntfs-3g -o locale=nl_NL.iso-8859-1,silent /dev/disk/by-id/usb-DiskA \ /mnt/tmp || mount -t

Jeroen: Thank you for pointing me to ndjson, which I had not heard of and is exactly my case. My experience: jsonlite::stream_in - segfaults ndjson::stream_in - my fault, I am running Ubuntu 14.04 and it is too old so it won't compile the package corpus::read_ndjson - works!!! Of course it does a different simplification than jsonlite::fromJSON, so I have to change some code, but

Joris, the point is that 'z' is NOT used as a predictor in the model. Therefore it should not affect predictions. Also, I find it suspicious that the error only occurs when the response variable conitains missings and 'z' is unique (I have tested several other cases to confirm this). -Mark Op vr 16 mrt. 2018 om 13:03 schreef Joris Meys <jorismeys at gmail.com>: >

From time to time, a new ubuntu install will have problems with locales, and language settings. I''d like to set up a recipe to fix this, so that things like perl ( especially perl ) work. Is there a convention/method for this? --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Puppet Users" group.

As a side note, Splus makes sin(x) NA, with a warning, for abs(x)>1.6*2^48 (about 4.51e+14) because more than half the digits are incorrect in sin(x) for such x. E.g., in R we get: > options(digits=16) > library(Rmpfr) > sin(4.6e14) [1] -0.792253849684354 > sin(mpfr(4.6e14, precBits=500)) 1 'mpfr' number of precision 500 bits [1]

Hi All, I have a few small questions about the usage of the C findVar( ) function when used in C code called with '.Call'. In my case I create an R function with an argument. This function calls some C code in which I use findVar( ) to retrieve the values from the argument. Ofcourse normally I would just give the values as argument to .Call, but in my project I need to use findVar for

Full_Name: D Kreil Version: 2.8.1 and 2.9.0 OS: Debian Linux Submission from: (NULL) (141.244.140.179) Group: Accuracy I understand that most floating point numbers are approximated due to their binary storage. On the other hand, I thought that modern math CPUs used guard digits to protect against trivial underflows. Not true? # integers, no problem > 1+1+1==3 [1] TRUE # binary floating

Full_Name: D Kreil Version: 2.8.1 and 2.9.0 OS: Debian Linux Submission from: (NULL) (141.244.140.179) Group: Accuracy I understand that most floating point numbers are approximated due to their binary storage. On the other hand, I thought that modern math CPUs used guard digits to protect against trivial underflows. Not true? # integers, no problem > 1+1+1==3 [1] TRUE # binary floating

Dear Friends, Here is an algorithm for finding concave hulls: http://get.dsi.uminho.pt/local/ Has anyone implemented such an algorithm in R? RSiteSearch('concave hull') didn't reveal one (I think). _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology Postal Address: P.O.Box 400400, Charlottesville, VA 22904-4400 Express Parcels

Hello All, today's Mate-updates seem to have removed our nl_be locale. We run Mate desktop on some 15 Centos7 laptops. Not so big a deal, we can easily switch to nl_nl or people would still figure it out in English. But maybe for other, not so common locales, you might want to check before updating. Greetings, Johan

Hi, i am unable to install the rugarch package. More than that i do not even find this package in my list of possible packages. Its possible than the name has changed, or the package is not longer availiable? Is there a similar package avaliable for garch modelling except the fGarch what i am using now? many Thanks Roland -- View this message in context: