similar to: Old style and new style classes

Thank you! Installing openblas and then using ./configure --without-lapack --with-blas --enable-R-shlib ..got everything working. Does this need reporting upstream as a bug in R or lapack? I'm good now, but it might help others to get this fixed. Simon. -----Original Message----- From: Ivan Krylov <ikrylov at disroot.org> Sent: 08 May 2024 20:05 To: Simon Andrews

? Wed, 8 May 2024 16:59:25 +0000 Simon Andrews <simon.andrews at babraham.ac.uk> ?????: > The lapack libraries are: > > $ rpm -qa | grep lapack > lapack-3.9.0-10.el9.x86_64 > lapack64_-3.9.0-10.el9.x86_64 > lapack64-3.9.0-10.el9.x86_64 > lapack-devel-3.9.0-10.el9.x86_64 Thanks for this information! I figured out I needed to enable the "PowerTools/CRB" repo,

"Swinton, Jonathan" <Jonathan.Swinton@astrazeneca.com> writes: > # works as expected > > ac <- c('A','B'); > > identical(ac,ac[1:2]) > [1] TRUE > > #but > > af <- factor(ac) > > identical(af,af[1:2]) > [1] FALSE > > Any opinions? Did a cross-check with Splus and it doesn't do that , so I think it

Is this the expected and/or correct behaviour? And if so, how do I persuade new to interpret a named but missing argument as missing? ------------- setClass("testMissing",representation(a="numeric"),prototype=list(a=0)); showMissing <- function(real.arg,missing.arg) { really.missing <- new("testMissing"); show(really.missing); really.there <-

If I have a class Foo, then i can write an S3 method for sum for it: >setClass("Foo",representation(a="integer"));aFoo=new("Foo",a=c(1:3,NA)) >sum.Foo <- function(x,na.rm){print(x);print(na.rm);sum(x at a,na.rm=na.rm)} >sum(aFoo) But how do I write an S4 method for this? All my attempts to do so have foundered. For example

Dear Martin, Since no one else has picked up on this, I?ll take a crack at it: The proposal is to define the S3 class of model-frame objects as c(?model.frame?, ?data.frame?) (not the formal class of these objects, even though this feature was coincidentally introduced in S4). That?s unlikely to do harm, since model frames would still ?inherit? data.frame methods. It's possible that some

Dear R-Developers, The traffic today on s-news where Terry Therneau, I, and others are reporting some of the problems we have had using or converting applications to SV4 reminded me of something Duncan Temple Lang had mentioned to me a year ago that I wanted to follow up on. I recall that Duncan said either that if SV4 were to be implemented in R that it would not be the default behavior, or

Dear R-helpers: My question is how do I efficient and valid correct for multiple tests in a repeated measurement design: Suppose we measure at two distinct visits with repeated subjects a treatment difference on the same variable. The treatment differences are assessed with a mixed model and adjusted by two methods for multiple tests: # 1. Method: Adjustment with library(multcomp)

Venables and Ripley (2000) R Programming (Springer, sec. 5.1) and Chambers (1998) Programming with Data (Springer) describe functions such as dumpClass and hasSlot that I can not find in R 1.9.1 for Windows nor in the "R site search". What do people use for similar functionality? Also, what resources have people found useful for learning about S4 classes, other than these 2

Hi all, Was wondering if any body would know if the book "Programming with Data" a guide to S language could be used as a guide to working with the R language. Comments, suggestions, a book review is welcomed. Thanks Josef Bohart -------------- next part -------------- An HTML attachment was scrubbed... URL:

Full_Name: Jonathan Swinton Version: 2.2.1 OS: Windows Submission from: (NULL) (193.132.159.169) #The first line of description for data.matrix says that it will # 'Return the matrix obtained by converting all the variables in a # data frame to numeric mode and then binding them together as the # columns of a matrix.' #However when called with a data.frame with zero rows,

When formula() is applied to the output of model.frame() it ignores the formula in the model.frame's 'terms' attribute: > d <- data.frame(A=log(1:6), B=LETTERS[rep(1:2,c(2,4))], C=1/(1:6), D=rep(letters[25:26],c(4,2)), Y=1:6) > m0 <- model.frame(data=d, Y ~ A:B) > formula(m0) Y ~ A + B > `attributes<-`(terms(m0), value=NULL) Y ~ A:B This is in part

Does R, or will R, be integrating the changes to the Chambers/Lucent S language under their version 5.0? If not already, then when? John Thaden Little Rock, Arkansas, USA -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe"

Full_Name: Jonathan Swinton Version: 1.8.0 OS: Windows 2000 Submission from: (NULL) (193.132.159.34) Calling qbinom with a sample probability of 1 returns NaN > qbinom(p=0.95,size=10,prob=1) [1] NaN I believe that this is wrong and that qbinom(p,size,prob=1) should always be size for 0<p<=1. The documentation says that The quantile is defined as the smallest value x such that F(x)

> From: fharrell@virginia.edu [mailto:fharrell@virginia.edu] > [snip] > I think your code is more complex that is really needed. > > The problem with defaulting to deparse(...) is that > multiple function pass-throughs return the wrong result: > [snip] > So I don't see a large role for the deparse(...) method. > Actually one of the reasons that I included the

R-helpers: I have a dataset that has 168 subjects and 12 variables. Some of the variables have missing data and I want to use the multiple imputation capabilities of the "mice" package to address the missing data. Given that mice only supports linear models and generalized linear models (via the lm.mids and glm.mids functions) and that I need to fit Cox models, I followed the previous

When using the File/Open Script.. dialogue on Windows, the list of filters offered is R files (*.R) S files (*.q,*.ssc,*.S) All files (*.*) I wish that an additional filter be offered as Sweave files (*.Rnw,*.Snw) I find that the Rgui script editor is adequate for most of my R development and tend to edit *.Rnw files there. _ platform

I have a problem when building R from source on Windows XP. When I get to 3.1.3 of the Installation and Administration manual and try make all recommended from R_HOME it fails with make: *** No rule to make target `all'. Stop. I am pretty sure there is an obvious and well documented thing I am missing, but missing it I am. Any clues? Is my problem that I have a Makefile.in but not a

Hi all, Does there already exist a version of substitute that evaluates it's first argument? (i.e. it accepts an already quoted expression). This seems like something that's pretty handy, but I haven't found any existing function to do it: substitute_e <- function(expr, env) { eval(substitute(substitute(expr, env), list(expr = expr))) } f <- quote(x + y + z) substitute(f,

Full_Name: Kem Phillips Version: 2.7.1 (2008-06-23) OS: Windows Xp professional Submission from: (NULL) (98.221.200.108) The Hmisc function describe fails, giving the error message: Error in formatDateTime(dd, atx, !timeUsed) : could not find function "format.dates" Loading the chron package, where function dates apparently resides, does not fix the problem. Note