similar to: testInstalledBasic question

Hi, I am running R 2.13.0 on a Windows 7 machine. I ran the script: testInstalledBasic('devel') and received the following warning message: running tests of consistency of as/is.* creating ?isas-tests.R? running code in ?isas-tests.R? comparing ?isas-tests.Rout? to ?isas-tests.Rout.save? ...running tests of random deviate generation -- fails occasionally running code in

Hello, I installed R 2.13.0 on a Windows 2003 server.? I downloaded the Rtools213.exe from http://www.murdoch-sutherland.com/Rtools/ and placed it in the path (C:\Program Files\R\R-2.13.0\bin). I submitted the following code: library(tools) Sys.setenv(LC_COLLATE=C) testInstalledBasic('basic') I get the following message in the R Console, which I believe corresponds to a failure of the

Dear R-SIG-Debian team, I have installed R3.2.1 as described at cran.r-project.org on my Ubuntu 14.04 using the Ubuntu packages for R (r-base and r-base-dev) from the package URL deb http://<my.favorite.cran.mirror>/bin/linux/ubuntu trusty/ I wanted to test the installation using the R commands: Sys.setenv(LC_COLLATE = "C", LANGUAGE = "en")

... and also all objects that actually live in the .GenericArgsEnv environment. > all( sapply( ls( .GenericArgsEnv ), function(.) is.null(environment(.)) ) ) [1] TRUE This has the consequence preventing argsAnywhere to get the args of seq.int. > argsAnywhere( seq.int ) Error in exists(".packageName", envir = envir, inherits = FALSE) : use of NULL environment is defunct

Dear users, I have a problem when using the testInstalledBasic function in the tools package on my windows 7 machine. I specified the environment variables as stated in the Installation and administration manual (Sys.setenv(LC_COLLATE = "C", LANGUAGE = "en")) and ran the function on an installation without additional packages. However the test fails on the script

I installed R on my Windows laptop in C:\Program Files\R\R-2.15.2 and am able to open RGUI (640bit), see packages and run commands. However, when I test the installation and run the basic tests and all the tests on the standard and recommended packages i.e.: library("tools") testInstalledBasic("both") testInstalledPackages("base", errorsAreFatal

Hello. I've compiled R on Windows many times, and this is the first time I've seen this error. While running make check-all (and using testInstalledBasic("both")), the lm-tests routines fail, and, as far as I can tell, the diff is failing because in one file, answers are coming back like this "3.11e-004" while in the save file they are "3.11e-04". Every value

Hi I am having difficulty with setMethod(). I have a "brob" class of objects whose representation has two slots: "x" and "positive". Slot "x" (double) holds the log of a number and slot "positive" (logical) its sign. The idea is that large numbers can be handled. I'm trying to implement a log() method using an analogue of the

Hello. I am trying to build R on Windows. It appears that my build passes the various "make checks" (unless I missed some error) and running Rterm seems to work fine whereas Rgui has an immediate error stating " AppName: rgui.exe AppVer: 2.150.58871.0 ModName: rzlib.dll ModVer: 0.0.0.0 Offset: 0000a9e5 The taskbar still works, but the console window has nothing in it, and

RSQLite.extfuns provides SQLite extension functions for use with RSQLite. The package is a wrapper of extension functions written by Liam Healy and made available through the SQLite website (http://www.sqlite.org/contrib). You can make the extension functions available on a per db connection basis like this: library("RSQLite.extfuns") db <- dbConnect(SQLite(), dbname =

RSQLite.extfuns provides SQLite extension functions for use with RSQLite. The package is a wrapper of extension functions written by Liam Healy and made available through the SQLite website (http://www.sqlite.org/contrib). You can make the extension functions available on a per db connection basis like this: library("RSQLite.extfuns") db <- dbConnect(SQLite(), dbname =

Greetings list, I am new to programming in R, and am using nnet() function for a project on neural networking. Firstly I wish to ask if there is any pdf explaining the algorithm nnet uses, which could tell me what the objects of the nnet class, like 'conn', 'nconn, 'nsunits', n and 'nunits' mean, and how weights are calculated. The package pdf has little or no

Hi, Is there any R library that is capable of handling polygamma function (Hurwitz zeta function also works)? I am aware of digamma(0 and trigamma(), but could not find more advanced versions. I'd appreciate any help. Hakan Demirtas

Full_Name: Chanseok Park Version: 1.8.1 OS: linux-gnu Submission from: (NULL) (130.127.112.183) digamma with any negative value does not give a right answer. It gives -1.797693e+308 for any negative arguments. For example, digamma(-1.1) gives -1.797693e+308. The right answer should be 10.15416 This bug can be easily fixed by using the following digamma identity. digamma(x) = digamma(1-x) -

Hello, I was wondering if the functions deriv3(), deriv() etc. could be extended to handle psigamma() and its special cases (digamma(), trigamma() etc.). From the error message it seems that 'psigamma' needs to be added to the derivatives table. This might be easy since psigamma() has a deriv argument. Additionally, this error message is also obtained when requesting for the Hessian of

Full_Name: Peter Fortini Version: 2.0.1 OS: Windows 2000 Submission from: (NULL) (65.246.187.164) When the imaginary part of the argument is very large, the complex tangent function returns 0+NaNi. For example, tan(1+1000i)=0+NaNi; it should be 0+1i Easy to fix in complex.c, as the original NaN came from division of sinh and cosh that had reached machine infinity. static void z_tan(Rcomplex

Hello, I was asked to try the following code on R, gamma.mles function (xx,shape0,rate0) { n<- length(xx) xbar<- mean(xx) logxbar<- mean(log(xx)) theta<-c(shape0,rate0) repeat { theta0<- theta shape<- theta0[1] rate<- theta0[2] S<- n*matrix(c(log(rate)-digamma(shape)+logxbar,shape/rate-xbar),ncol=1) I<- n*matrix(c(trigamma(shape),-1/rate,-1/rate,shape/rate^2),ncol=2)

Hi, I'm trying to write a method such that my own classes can be used with the groups like "Summary" and "Math", but when I tried to look for examples or just wanted to get an idea of which functions are the members of a group, I found out that the function "getGroupMembers" is not present... I couldn't find an alternative function, if there is one. Does

Dear all, in R 3.1.0, this is happening: > cummin(c(1+1i,2-3i,4+5i)) Error in cummin(c(1 + (0+1i), 2 - (0+3i), 4 + (0+5i))) : 'cummax' not defined for complex numbers > cummax(c(1+1i,2-3i,4+5i)) Error in cummax(c(1 + (0+1i), 2 - (0+3i), 4 + (0+5i))) : 'cummin' not defined for complex numbers It may be fixed in R-devel, but I thought I'd mention it to make sure

Hi, The function cummax() seems to have a bug. > x <- c(NA, 0) > storage.mode(x) <- "integer" > cummax(x) [1] NA 0 The correct result of this case should be NA NA. The mistake in [ https://github.com/wch/r-source/blob/trunk/src/main/cum.c#L130-L136] may be the reason. Best Regards, Dongcan -- Dongcan Jiang Team of Search Engine & Web Mining School of Electronic