similar to: RDieHarder with file input invocation

Hello, I am having trouble installing the package from CRAN. As the package compiles I get: * installing *source* package ‘RDieHarder’ ... ** package ‘RDieHarder’ successfully unpacked and MD5 sums checked checking for gcc... gcc checking for C compiler default output file name... a.out checking whether the C compiler works... yes checking whether we are cross compiling... no checking for

RDieHarder fails its regression tests on x86_64 (aka "amd64") at CRAN (using Debian), and I see the same on Ubuntu 8.10 in 64 bit. No issues on 32bit. One odd thing is that the program behaves well if run via R --no-save < tests/RDieHarder.R but NOT when started using R --slave < tests/RDieHarder.R as R CMD check does. So I tried different things related to startup

I've been getting a few of these errors on a couple different mboxes. This is using the CVS version as of May 14. So far, these are the only errors and it looks like most/all of the older ones are gone. (maybe I shouldn't say that ;-) dovecot: May 16 17:41:07 Error: 20973 IMAP(todd.bluegenesis.com): file mbox-sync.c: line 1165 (mbox_sync_handle_eof_updates): assertion failed:

Classification: UNCLASSIFIED Caveats: NONE Hello, R users, Has anybody written a function for random test based on the length of longest run of same events. I really appreciate your help. Kyong Park Classification: UNCLASSIFIED Caveats: NONE [[alternative HTML version deleted]]

Classification: UNCLASSIFIED Caveats: NONE Thanks for your quick response. The program you mentioned below available from R is based on number of runs (up or down) not based on a longest length of runs of same events. To be more specific, for example, from a series, HHTHTTTTHHH, the number of runs are 5, and the longest length of runs of the same events is 4. I'll check for the website you

I've attached a few assertion errors in imap. Any fixes or advice on where to look are appreciated. This is with the CVS version, current as of April 27. Todd Burroughs -------------- next part -------------- dovecot: Apr 27 00:00:45 Error: 5714 IMAP(chairman): file mail-index-transaction.c: line 808 (mail_index_update_ext): assertion failed: (seq > 0 && (seq <=

Here is another crash we've been seeing recently in rc15 on Solaris 10. (gdb) bt full #0 0xff1c12a4 in ?? () No symbol table info available. #1 0xff140040 in ?? () No symbol table info available. #2 0x000786a8 in t_buffer_alloc (size=688976) at data-stack.c:346 __PRETTY_FUNCTION__ = "file %s: line %" #3 0x00078190 in t_pop () at data-stack.c:149 frame_block = (struct

Dear useRs, A few days ago, the initial version 0.1.0 of a new package 'random' was uploaded to CRAN. The random packages provides convenient access to the non-deterministic random numbers provided by the random.org site created by Mads Haahr (http://www.random.org). While certain hardware and software solutions that provide access to non-deterministic random-numbers exist, few if any

Dear useRs, A few days ago, the initial version 0.1.0 of a new package 'random' was uploaded to CRAN. The random packages provides convenient access to the non-deterministic random numbers provided by the random.org site created by Mads Haahr (http://www.random.org). While certain hardware and software solutions that provide access to non-deterministic random-numbers exist, few if any

This post updates https://stat.ethz.ch/pipermail/r-devel/2010-January/056301.html https://stat.ethz.ch/pipermail/r-devel/2010-January/056411.html The MinGW-w64 snapshots have moved back to gcc pre-4.4.4 (from pre-4.5.0) with static linking to C++ and Fortran run-time DLLs, and seem more stable. Currently the CRAN package check pages at http://cran.r-project.org/web/checks/check_summary.html

Can someone point me to an implementation of the "runs up and runs down" test, or does such beast exist in R? From web searches the "runs up and runs down" test is commonly used for testing pseudo-random number generators and in simulations. John C. Davis describes its use in geology in his book on geological statistics (2002). Having searched the full site, I can locate only

HI R users, I construct dendrogram tree and cut the tree into different clusters, then generate survival curves by the following three functions. All variables are included in an inputfile. Can you help me to consolidate the following three function into one functions? I thought about using if else function, but not sure how to do it. Thank you, Ding # function to generate RFS RFS2cluster

Hi, subject more or less says it all. I freely admit to not having bothered to find some of the online papers about method of testing the quality of random number generators -- but in an idle moment I wondered what to expect from something like the following: randa<-runif(1000) randb<-runif(1000) t.test(randa,randb)$p.value var.test(randa,randb)$p.value [repeat ad nauseum] Is the

Hai Mourik Jan, ? This is the script we use, this is the work my collega. ( see the developed by, thats his company?) This is a "as is"? share, so read the code, we added as much as possible info in there. ? Few extra pointers, - speed up the script by useing ramdisk, make sure your ramdisk has the space for the bigest pdf you want to create. ??? we did limit the max size in the

Hi Bert, Thank you, yes, you are right. I want to consolidate the three functions into one functions by adding more arguments, adding flexibility to accommodate the number of clusters or the number of Kaplan Meier curves generated in one figure. So, I just need to define one function. Thanks, Ding From: Bert Gunter [mailto:bgunter.4567 at gmail.com] Sent: Sunday, January 14, 2018 9:50 AM

FAQ 7.22 You must print a ggplot object, for example with print(m52.2cluster) For the FAQ, run the line system.file("../../doc/FAQ") in R on your computer. Open up the resulting filepath in your favorite editor and scroll down to 7.22 On Sun, Jan 14, 2018 at 4:21 PM, Ding, Yuan Chun <ycding at coh.org> wrote: > Hi Bert, > > I am sorry to bother you on weekend. >

That is certainly OK, but you can also just use print(ggsurvplot(...)) as your final statement. out <- RFS( ...) would then return the ggsurvplot object *and* graph it. Any good R tutorial or a web search will provide more details on function returns, which you might find useful. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and

Thank you, your suggestion is simpler and logically better. I had impression that the last object in a function gets returned, so I did not add the print function at the bottom line of the function definition. Returning an object and graph the object are different process, I am a beginner for writing R function and need to find a good guide source about writing R functions. If you know a good

When you run a program foo linked with gccld (i.e., by running the script "foo" it outputs which runs lli) it passes foo.bc instead of foo as the argv[0] for the program. This is surprising to the user, who is expecting that a program started by running "./foo" will call itself "./foo", not "./foo.bc". Fixed by removing ".bc" from the end of

Hi Bert, I am sorry to bother you on weekend. I am still struggling on defining a correct function. I first defined the function RFS (see below), then run it by provide the two argument. m52.2cluster <-RFS(inputfile =allinfo_m52, N=2 ) I do not get error message, but no figure displays on screen. I do not know what is going on. Can you help me a little more on this issue? Thank you,