similar to: cyclic namespace dependency detected

Hi, I'm wondering if it is possible to install a package for R 2.0 on R 1.9.1 on Mac OS X? I'm getting this error which seems to be known issue: library("quantreg") Error in firstlib(which.lib.loc, package) : couldn't find function "lazyLoad" In addition: Warning message: package quantreg was built under R version 2.0.1 Error in

Does any have installation instructions for this? When I run install.packages('quantreg') I get: gcc -std=gnu99 -shared -o quantreg.so akj.o boot.o brute.o chlfct.o cholesky.o combos.o crq.o crqfnb.o dsel05.o etime.o extract.o idmin.o iswap.o kuantile.o mcmb.o penalty.o powell.o rls.o rq0.o rq1.o rqbr.o rqfn.o rqfnb.o rqfnc.o sparskit2.o srqfn.o srqfnc.o srtpai.o -llapack -lblas

( A similar problem is also reported by Sebastian P. Luque with library(maptools) library(trip) in the vignette as below ). I am writing a vignette which loads RMySQL and RPostgreSQL. This produces the warning: Loading required package: DBI Warning in .simpleDuplicateClass(def, prev) : A specification for class ?dbObjectId? in package ?RPostgreSQL? seems equivalent to one from package

Hi Paul, We've been through this process ourselves for the Revolution R Open project. There are a number of pitfalls to avoid, but you can take a look at how we achieved it in the build scripts at: https://github.com/RevolutionAnalytics/RRO There are also some very useful notes in the R Installation guide: https://cran.r-project.org/doc/manuals/r-release/R-admin.html#BLAS Most packages do

With reference to R News News: R version 3.0.0 (Masked Marvel) has been released on 2013-04-03. R version 2.15.3 (Security Blanket) has been released on 2013-03-01 R version 2.15.2 (Trick or Treat) .... R version 2.15.1 ("Roasted Marshmallows") ... R version 2.15.0 ("Easter Beagle") R version 2.14.0 ("Great Pumpkin") Dear R help List, How are these version types

On 28/06/2019 6:27 a.m., Koenker, Roger W wrote: > Thanks, I was just coming to that conclusion and beginning to look for a way to make a list of > exportable objects. After library(quantreg), ls("package:quantreg") will list all the names you currently export. So cat(ls("package:quantreg"), sep = ", ") will print the list in a form suitable for including

> ... reports that the fortran names of all the registered fortran functions are ?undocumented objects?... Those symbols should not be exported. In quantreg v5.33, NAMESPACE has 'exportPattern(".")'. Maybe it is a good time to remove that and export explicitly the symbols that are meant for export. Georgi Boshnakov ------------------------------ Message: 6 Date: Fri, 28

Dear R-devel: The Cluster administrators at KU got enthusiastic about testing R-3.2.2 with Intel MKL when I asked for some BLAS integration. Below I forward a performance report, which is encouraging, and thought you would like to know the numbers. Appears to my untrained eye there are some extraordinary speedups on Cholesky decomposition, determinants, and matrix inversion. They had

Thanks, I was just coming to that conclusion and beginning to look for a way to make a list of exportable objects. Roger Koenker r.koenker at ucl.ac.uk<mailto:r.koenker at ucl.ac.uk> Department of Economics, UCL London WC1H 0AX. On Jun 28, 2019, at 11:23 AM, Georgi Boshnakov <georgi.boshnakov at manchester.ac.uk<mailto:georgi.boshnakov at manchester.ac.uk>> wrote: ...

Hi R users, I am developing two packages. Each package uses some functions from the other package. Now when I define these dependencies in the NAMESPACE file (via importFrom(XXXX,function1,....)), i get this error (when building one package): cyclic namespace dependency detected when loading 'XXXXXX', already loading ?YYYYYYY?, ?XXXXXXXXX? Is there any way to prevent this error?

I am installing R 2.15.1 onto RHEL 6, using gcc 4.7.0 with Intel MKL 10.3.7 and the following environment: export BLAS_LIBS="-Wl,--start-group /usr/caen/intel-12.1/mkl/lib/intel64/libmkl_gf_lp64.a /usr/caen/intel-12.1/mkl/lib/intel64/libmkl_sequential.a /usr/caen/intel-12.1/mkl/lib/intel64/libmkl_core.a -Wl,--end-group -lpthread" export LAPACK_LIBS="-Wl,--start-group

> ?prompt [SNIP] ## Create a help file for each function in the .GlobalEnv: for(f in ls()) if(is.function(get(f))) prompt(name = f) > foo <- function(x) { cat(x, '\n')} > prompt(name="foo") Error in utils:::prompt(object, filename = filename, name = name, ...) : argument "object" is missing, with no default > version platform

I have installed Sweave as recommended. http://lifeasclay.wordpress.com/tag/sweave/. Placing a test.Rnw file, for instance, in "/Library/Frameworks/R.framework/Versions/2.15/Resources/library/utils/Sweave" generates test.tex files that generate pdf files with LaTeX. To be honest, placing Rnw files seem to make sense. The "exams" package does require not this step. It uses

> From: Duncan Murdoch <murdoch.duncan at gmail.com> > Let's try it: > > > m <- (2/5)*2^32 > > m > 2^31 > [1] FALSE > > x <- sample(m, 1000000, replace = TRUE) > > table(x %% 2) > > 0 1 > 399850 600150 > > Since m is an even number, the true proportions of evens and odds should > be exactly 0.5.

Hi, Using R 2.15.1 on Windows 7. Have installed both versions 32 and 64bit. In both of them among others I have installed a package rgenoud When I open R gui of 32bit and write library(rgenoud) it responds by showing a functional rgenoud version 5.7-8. The same it does on Rgui 64bit. Now I am working in cygwin (v. 1.12.4.0) with xwin. Normally before when I had installed a package, I only had

Dear All, I'm trying to track down a very erratic bug in some fortran; I have an example that quite consistently segfaults on windoz, and more sporadically on mac, all in the course of doing some bootstrap calculations, varying the set.seed call, but I'm now trying to see what is going on on our redhat system: R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows"

Dear all, I'm a bit stunned by the behaviour of a gam model using cyclic P-spline smoothers. I cannot provide the data, as I have about 61.000 observations from a time series. I use the following model : testgam <- gam(NO~s(x)+s(y,bs="cs")+s(DD,bs="cs")+s(TT),data=Final) The problem lies with the cyclic smoother I use for seasonal trends. The variable Final$y is a

Hi, I'm using the XML package to scrape data and I'm trying to figure out how to eliminate the memory leak I'm currently experiencing. In the searches I've done, it sounds like the existence of the leak is fairly well known. What isn't as clear is exactly how to solve it. The general process I'm using is this: require(XML) myFunction <- function(URL) { html

Hello, I'm most grateful for your time to read this. I have a uber size 30GB file of 6 million records and 3000 (mostly categorical data) columns in csv format. I want to bootstrap subsamples for multinomial regression, but it's proving difficult even with my 64GB RAM in my machine and twice that swap file , the process becomes super slow and halts. I'm thinking about generating

In help(gc) I read, "...the primary purpose of calling 'gc' is for the report on memory usage". What memory usage does gc() report? And more importantly, which memory uses does it NOT report? Because I see one answer from gc(): used (Mb) gc trigger (Mb) max used (Mb) Ncells 14875922 794.5 21754962 1161.9 17854776 953.6 Vcells 59905567 457.1 84428913 644.2