similar to: Version 1.5.1 STILL failing make check.

I just tried to install R version 1.5.1, and it is failing ``make check'', as follows: $ make check `Makedeps' is up to date. running code in 'base-Ex.R' ...*** Error code 1 make: Fatal error: Command failed for target `base-Ex.Rout' Current working directory /home1/faculty/rolf/Traal/Rtmp/R-1.5.1/tests/Examples *** Error code 1 make: Fatal error: Command failed for target

Just now I again had occasion to want nested describe lists in a documentation file. I found that the bug which I reported on 18 October, 2001 still persists. I checked on the bug report at the R web page, and found that the notes say ``Not a problem in R 1.4.0 (2001-12-08)''. Well, it's still a problem for me --- using R 1.4.1. (Details: platform sparc-sun-solaris2.7 arch

I've recently installed R-1.4.0 and I'm having the devil's own time trying to install a home-made package. As far as I can tell, I'm doing the same things that I did previously, under 1.3.1, but somehow everything goes haywire. (Quite possibly I'm simply mis-remembering what I did before, but I can't for the life of me figure out what to change). A toy example of what I

Zig tests using Debug build of 5.0.1rc2 hit this bug: https://bugs.llvm.org/show_bug.cgi?id=34452 I suppose the fix has not been backported to 5.0.1. So I created a Release build of 5.0.1rc2 and all zig tests pass, with the following patches: * Patches to LLD: commit a206ef34bbbc46017e471063a4a1832c1ddafb0a Author: Andrew Kelley <superjoe30 at gmail.com> Date: Fri Dec 1 12:11:55 2017

There appears to be a mild bug, or at least a deficiency, in rnorm. The bug becomes apparent when one looks at extremes of the squares of the values generated by rnorm; rnorm is not generating quite enough extreme values. The R version that I am using is 1.4.1; I never got around to installing 1.5.0, and now since 1.5.1 is about to come out .... However, checking the 1.5.0 release notes

I've just installed version 1.4.0 of R, and am experiencing a puzzling phenomenon with the library() function. I have .lib.loc set as follows: > .lib.loc [1] "/usr/local/lib/R/library" "/home/faculty/rolf/Rlib" If I invoke > library(melvin) I get the error message Error in library(melvin) : There is no package called `melvin' but if I invoke >

I have just been bitten by a quirk in the behaviour of model.matrix. I used model.matrix inside a function, and passed to it a formula that was built elsewhere. The formula was of the form ``y ~ x + w + z''. Now, model.matrix cheerfully accepts formulae of this form, although it only ***needs*** the right hand side, i.e. ``~ x + w + z'' --- the ``y'' can be dropped (but

The eurodist dataset (my favorite for mds) is malformed. Instead of a standard distance matrix, it's a data frame. The rownames have gotten 'bumped' to a new anonymous dimension "X". It's possible to fix the data, but it messes up a lot of example code out there. X Athens Barcelona Brussels Calais ... 1 Athens 0 3313 2963 3175 2 Barcelona

I am using R to do a loess normalisation procedure. In 1.5.1 I used the following commands to normalise the variable "logratio", over a 2d surface (defined by coordinates x and y): > array <- read.table("121203B_QCnew.txt", header=T, sep="\t") > array$logs555<-log(array$s555)/log(2) > array$logs647<-log(array$s647)/log(2) >

In checking over the solutions to some homework that I had assigned I observed the fact that in R (version 2.4.0) pnorm(-1.46) gives 0.07214504. The tables in the text book that I am using for the course give the probability as 0.0722. Fascinated, I scanned through 5 or 6 other text books (amongst the dozens of freebies from publishers that lurk on my shelf) and found that some agree with R

Hello, For verbose coding I'd like to do something like: > myfunction <- function(x){ > if (a){ > stop(paste(myfunction_name_here,"requires xyz!") > } Is that possible? Thanks for any hints, Joh

Hi wizards, I need to know how can I generate this numbers I have n numbers N1,N2 , Nn , but Nn = 1- sum(N1+N2+...+Nn-1) and sum(N1+N2+..Nn)=1 and N1,N2,..Nn with 0<N<1 . Does somebody know how to generate it ? Some distribution or algorithm. Thanks in advance. -- Web Page http://www.geocities.com/ricardo_rios_sv/index.html

Apologies for the off-topic question; as usual I'm trying to draw upon the unparalleled knowledge and sagacity of the r-help list. Please reply off-list if you can help me out. A collaborator of mine found a formula we need, on sheets which he had photocopied out of a book, some years ago. He cannot remember which book (he's getting to be as senile and forgetful as I am, poor bloke!).

Colin Bleay wrote: > last week i sent an e-mail about dealing with errors thrown up from a > glm.nb model carried out on multiple random datasets. > > every so often a dataset is created which results in the following error > after a call to glm.nb: > > "Error: NA/NaN/Inf in foreign function call (arg 1) > In addition: Warning message: > Step size truncated due

Dimitris Rizopoulos wrote: > look at ?rowMeans; you can also use "apply(mat, 1, mean)" but > rowMeans() is better. By my reading of the question, this is not what Ezhil wants. He said: ``I have a 992 x 74 matrix. I would like to form a new matrix by averaging each 4 rows from the original one.'' I.e. he wants (I think) the first row of the new matrix to be the

Dear R developers, there appears to be a small problem with function cmdscale: for non-Euclidean distance matrices, using option add=FALSE (the default), cmdscale misses the smallest eigenvalue. This affects GOF statistic g.1 (See Mardia, Kent + Bibby (1979): Multivariate Analysis, eq. (14.4.7). The corresponding formula in Cox + Cox (2001): Multidimensional Scaling, 2nd ed., p 38, would

I don't know from the nortest package, but it should ***always*** be the case that you test hypotheses H_0: The data have a normal distribution. vs. H_a: The data do not have a normal distribution. So if you get a p-value < 0.05 you can say that ***there is evidence*** (at the 0.05 significance level) that the data are not from a normal distribution. If the nortest package does

Hi, I am facing the problem that I want to plot a histogram chart set freq to true and overlay with normal or weibull or exponential distribution curve. The sample code is shown as below: >samp<-c(-8.2262,-8.2262,-8.2262,-8.20209,-8.09294,-8.07321,-8.07321, -8.07321,-8.07175,-8.04948,-8.04948,-8.04948,-8.03848,-8.03848,

I've built R functions to ``effect'' a particular distribution, and would like to find out if that distribution is already ``known'' by an existing name. (I.e. suppose it were called the ``Melvin'' distribution --- I've built dmelvin, pmelvin, qmelvin, and rmelvin as it were, but I need a real name to substitute for melvin.) The distribution is really just a toy

I mis-spoke. It seems I had two collections of functions in the same directory. One by Colin Goodall, and one by David Scott (I have no record of where he is/was located). It is the *latter* collection that does all its work from within Fortran. I'll have another look at what Colin Goodall actually wrote to see if it could be useful to guarav. cheers, Rolf Turner rolf at