similar to: complex NA's match(), etc: not back-compatible change proposal

That, for example, complex(real=NaN) and complex(imaginary=NaN) are regarded as equal makes it possible that length(unique(as.character(x))) > length(unique(x)) (current code of function 'factor' doesn't expect it). Yes, an argument for the behavior is that NA and NaN are of one kind. On my system, using 32-bit R for Windows from binary from CRAN, the result of sapply(z, match,

On 'factor', I meant the case where 'levels' is not specified, where 'unique' is called. > factor(c(complex(real=NaN), complex(imaginary=NaN))) [1] NaN+0i <NA> Levels: NaN+0i Look at <NA> in the result above. Yes, it happens in earlier versions of R, too. On matching both NA and NaN, another consequence is that length(unique(.)) may depend on order.

With 'z' of length 8 below, or of length 12 previously, one may try sapply(rev(z), match, table = rev(z)) match(rev(z), rev(z)) I found that the two results were different in R devel r70604. A shorter one: > z <- complex(real = c(0,NaN,NaN), imaginary = c(NA,NA,0)) > sapply(z, match, table = z) [1] 1 1 2 > match(z, z) [1] 1 1 3 An explanation of the behavior: With normal

Full_Name: Tom Short Version: 2.4.0 OS: Windows XP Submission from: (NULL) (68.236.159.227) It looks like there's a bug in acosh with complex number in windows: > acosh(2) [1] 1.316958 > acosh(2+0i) [1] 0+NaNi This happens for me on Windows XP with the following versions: R version 2.2.0, 2005-10-06, i386-pc-mingw32 R version 2.4.0 (2006-10-03) i386-pc-mingw32 It works fine with

Hello I want to batch job the calculation of many GLM-models, extract some values and store them in a file. Almost everything in the script below works (read file, extract values and write them to file) except I fail in indexing the GLM with the modelstructure it should run. Running GLM's conventionally is no problem. Conventionally a GLM is calculated as:

The following behaviour (in R 0.62.3) is disturbing: > (0+0i)^2 [1] NaN+NaNi Is it deliberate?? Laimonis Kavalieris -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

The following behaviour (in R 0.62.3) is disturbing: > (0+0i)^2 [1] NaN+NaNi Is it deliberate?? Laimonis Kavalieris -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

I'm running a mirror of several repositories that are fetched using separate rsync runs. Since some of those repositories are hosting related files, I'm using the hardlink utility[1] in order to save disk space. However, I've noticed an issue that may lead to potential file metadata inconsistencies when using hardlink. Consider the following scenario: - two repositories (rep_a and

I get an error when running "make check" after building R-devel r70629 on Ubuntu 14.04. Here are the relevant lines in the file "reg-tests-1c.Rout.fail": > ## m1z uses match(x, *) with length(x) == 1 and failed in R 3.3.0 > ## PR#16909 - a consequence of the match() bug; check here too: > dv <- data.frame(var?1 = 1:3, var?2 = 3); dv[,"var?2"]

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

On 18/05/16 13:50, Martin Maechler wrote: >>>>>> Mikko Korpela <mikko.korpela at helsinki.fi> >>>>>> on Wed, 18 May 2016 13:05:24 +0300 writes: > > > I get an error when running "make check" after building > > R-devel r70629 on Ubuntu 14.04. > > Here are the relevant > > lines in the file

Hi This is Anjan and I am creating a module to create a database for oracle 11g. I have a problem to execute a cmd ie sqlplus "/as sysdba" @/home/oracle/cr_$dbn Please tell how to exucute the above cmds through puppet module. -- You received this message because you are subscribed to the Google Groups "Puppet Users" group. To post to this group, send email to

Hello List, I have configure 2 sangoma card each with 8 PRI lines with dahdi 2.6 the problem is i can see all channels configured in dahdi_cfg 480 channels configured but when I see /dev/dahdi i can only see 240 channels. what could be problem I am using it wanrouter and when I put PRI in new card i only got calls on new line that means one of the card is inactive at same time all the lines and

Hi, I am looking for a way to find out the version information of installed R packages. ex: >library(affy) >SOME_COMMAND_FOR_VERSION(affy) I know I can do either getRversion() or R.Version() could give me the version of R. I assume there must be a way for me to get version information for the add-on paclages,right? Thanks! Yupu

I am raising this again. With z <- complex(real = c(0,NaN,NaN), imaginary = c(NA,NA,0)) , results of sapply(z, match, table = z) and match(z, z) are different in R 3.4.0 alpha. I think they should be the same. I suggest changing 'cequal' in unique.c such that a complex number that has both NA and NaN matches NA and doesn't match NaN, as such complex number is printed as NA.

Hi, there was a memory improvement done in R going from R 3.3.3 to R 3.4.0 when it comes to comparing an integer 'x' an double 'y' (either may be scalar or vector). For example, in R 3.3.3, I get: > getRversion() [1] '3.3.3' > x <- integer(1000) > y <- double(1000) > profmem::profmem(z <- (x < y)) Rprofmem memory profiling of: z <- (x < y)

Hi, FWIW: /* Taken from R/src/main/unique.c */ static int requal(SEXP x, int i, SEXP y, int j) { if (i < 0 || j < 0) return 0; if (!ISNAN(REAL(x)[i]) && !ISNAN(REAL(y)[j])) return (REAL(x)[i] == REAL(y)[j]); else if (R_IsNA(REAL(x)[i]) && R_IsNA(REAL(y)[j])) return 1; else if (R_IsNaN(REAL(x)[i]) && R_IsNaN(REAL(y)[j])) return 1;

Hi , we use a barix <http://www.barix.com/products/instreamer-family/barix/Product/show/instreamer-100/?tx_wvbrxproducts_barixproductslist%5Bbutton%5D=&cHash=e3487444dea24a6b24aa0701dc1fa924>as our icecast client right now ( >400$ ) and I though I would try to replace it with a Raspberri Pi. Did anyone found a cheap and supported usb audio card that would have basic good input (

Dear R users,I'm a new user of R. I'm trying to do a LM test an there is this type of error: Error in t(mX) %*% mX : requires numeric/complex matrix/vector arguments. To be clear I write down the code in which mY ( 126,1 ) mX (126,1) mZ(126,1) are matrix. LMTEST <- function(mY, mX, mZ)#mY, mX, mZ must be matrices!#returns the LM test statistic and the degree of freedom{iT =

I have a problem moving from multistratum aov analysis to lmer. My dataset has observations of ampl at 4 levels of gapf and 2 levels of bl on 6 subjects levels VP, with 2 replicates wg each, and is balanced. Here is the summary of this set with aov: >> summary(aov(ampl~gapf*bl+Error(VP/(bl*gapf)),hframe2)) > >Error: VP > Df Sum Sq Mean Sq F value Pr(>F) >Residuals