search for: irreproducibilities

Hello, I submitted a small package, colbycol, to CRAN. I developed it on Linux and tested it on my Linux box and another Windows machine. Besides, other people kindly tested it in their systems. The package seems to "compile" correctly in r-forge for Windows. In fact, you can find the binary package at http://r-forge.r-project.org/R/?group_id=426. However, in CRAN, the Windows

> On Jun 14, 2017, at 5:52 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > > Sigh. I never load packages in .Rprofile to avoid the irreproducibility trap. Might seem drastic to some, but I don't feel much pain because I almost always edit my code in a file rather than on the fly at the console, and re-run it frequently from a fresh R process to check my progress.

Respected r-help readers, I am a bit uncomfortable because my favourite text editor vim does not speak statistics. So I obtained a perl-script made to get vim to interact with a lisp interpreter and had it set up so vim sends text to a socket and R executes - but there are some irreproducible errors and I don't understand the perl-script. Could someone show me an alternative method to start

On 02/05/18 09:53, Michelle Kline wrote: > Hi Bert, > > That was distinctly unhelpful Not if you actually follow Bert's advice. > and your outward hostility to a field you > obviously don't understand reveals a regrettable level of ignorance. I didn't see any hostility to any field. Bert, like many of us, objects to people blithely and arrogantly applying possibly

Sigh. I never load packages in .Rprofile to avoid the irreproducibility trap. Might seem drastic to some, but I don't feel much pain because I almost always edit my code in a file rather than on the fly at the console, and re-run it frequently from a fresh R process to check my progress. -- Sent from my phone. Please excuse my brevity. On June 14, 2017 3:27:15 PM PDT, David Winsemius

Hi Bert, That was distinctly unhelpful, and your outward hostility to a field you obviously don't understand reveals a regrettable level of ignorance. By the way, my research is Anthropology despite my job title. Michelle On Tue, May 1, 2018 at 2:48 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > 1. (Mainly) Statistical issues are generally off topic on this list. > You

Hi there, I have a question on fitting data by coxme. In particular I want to fit a random intercept and random slope cox model. Using the rats dataset as an example, I generated another covariate x2 and want to specify a random slope for x2. Here is my code: x2=matrix(rep(runif(50), 3), 50, 3) x2=as.vector(t(x2)) rats2=cbind(rats, x2) But when I used the coxme function as follows, it gave

Hi, I am working on a multivariate linear regression of the form y = Ax. I am seeing a great dispersion of y w.r.t x. For example, the correlations between y and x are very small, even after using some typical transformations like log, power. I tried with simple linear regression, robust regression and ace and avas package in R (or splus). I didn't see an improvement in the fit and

On 15 January 2017 at 04:24, Michael Kuperstein <michael.kuperstein at gmail.com> wrote: > Regarding "we shouldn't enable it because it will make the bots slower" - > well, yes, but that's just postponing the inevitable. We will enable > GlobalISel eventually, and there will probably be a very long time-frame > during which both are enabled concurrently. No

I just caught a segfault: > courses("Ingrid") *** caught segfault *** address 0x99b279c, cause 'memory not mapped' Traceback: 1: structure(y, class = oldClass(x), row.names = attr(x, "row.names")) 2: `[.data.frame`(gudata, -(1:5)) 3: gudata[-(1:5)] 4: names(gudata[-(1:5)]) 5: inherits(x, "factor") 6: is.factor(table) 7: match(x, table, nomatch =

I just caught a segfault: > courses("Ingrid") *** caught segfault *** address 0x99b279c, cause 'memory not mapped' Traceback: 1: structure(y, class = oldClass(x), row.names = attr(x, "row.names")) 2: `[.data.frame`(gudata, -(1:5)) 3: gudata[-(1:5)] 4: names(gudata[-(1:5)]) 5: inherits(x, "factor") 6: is.factor(table) 7: match(x, table, nomatch =

Dear R-Users, I am having some trouble running an R extension on our cluster (linux). I call C++ code in which I use a) the Scythe Statistical Library and b) OpenMP. Most of the jobs run without a problem, but some arbitrary jobs throw an exception of the kind printed below while running in a parallel loop. The behavior is to me not reproducible, although at every run of 729 Jobs it at least

1. (Mainly) Statistical issues are generally off topic on this list. You might want to try the r-sig-mixed-models list instead. 2. However, I think a better answer is to seek local statistical expertise in order to have an extended discussion about your research intent in order to avoid producing yet more irreproducible psychological research. Cheers, Bert Bert Gunter "The trouble with

>>> Uwe Ligges <ligges at statistik.tu-dortmund.de> 04/10/09 4:21 PM >>> >Well, you need to ask Symantec to fix Norton, hence this is the >wrong address. That would not help other R users who were looking in the archives for help with what looked like a mysterious normalizePath error, would it? As I said, the principal intent of the posting was to point to a

For the last couple of days I have been battling a * installation (company PBX) that has been spinning on the cpu at 100% utilization. This was causing dropped calls, horrible SIP call quality, etc. The box is running the CVS * as of Aug 5 on Fedora Core 1 on an AMD Duron processor. I called Digium and had them look into it (I was told they might be interested since it has been a long standing

Hi list, I am using the capscale function in vegan_2.0-7 to do a constrained principal coordinates analysis, and I kept getting the following error message: Error in Y.r[, oo, drop = FALSE] : subscript out of bounds I googled but I couldn't find an answer. Could anyone tell me why this error msg and what to do? Here is the command I used:

Hi all, I previously emailed about a multinomial model, and after seeking some additional help, realized that since my response/outcome variables are not mutually exclusive, I need to use a multi-response model that is *not* multinomial. I'm now trying to figure out how to specify the priors on the multi-response model. Any help would be much appreciated. My data look like this: X

On Fri, Jan 15, 2016 at 10:24:32AM +0000, Will Deacon wrote: > On Thu, Jan 14, 2016 at 02:55:10PM -0800, Paul E. McKenney wrote: > > On Thu, Jan 14, 2016 at 01:36:50PM -0800, Leonid Yegoshin wrote: > > > On 01/14/2016 01:29 PM, Paul E. McKenney wrote: > > > > > > > >>On 01/14/2016 12:34 PM, Paul E. McKenney wrote: > > > >>> > >

Hello, I try to write a bash skript and I want to use the variables from my bash skript into R. Ist that possible? My bash skript creates lots of *.data files. I want forward these files directly into R (in x.data.bz2), so that R creates a few data automatically also in PDF. For example: bash created files: hello.data , world.data how R created these files in pdf? please look my plot.R

This came up again recently with an irreproducible paper. Below an attempt to make a case for extending the r-devel/r-release cycle to CRAN packages. These suggestions are not in any way intended as criticism on anyone or the status quo. The proposal described in [1] is to freeze a snapshot of CRAN along with every release of R. In this design, updates for contributed packages treated the same as