search for: descrepancies

Here http://llvm.org/docs/ExceptionHandling.html#llvm_eh_selector llvm.eh.selector is declared like this: i32 %llvm.eh.selector <http://llvm.org/docs/ExceptionHandling.html#llvm_eh_selector>(i8*, i8*, i8*, ...) But when clang++ (rev.121360) writes the module with exceptions, it writes it out like this: declare i32 @llvm.eh.selector(i8*, i8*, ...) nounwind Why there is such descrepancy?

Hello, I have been doing some looking at openssl 0.9.7 and openssh3.5p1 and found a minor descrepancy. RAND_bytes() is called around line 69 of openbsd-compat/bsd-arc4random.c. It checks to see if the return is not zero. The RAND_bytes function can also return -1, too. All the code in openssl uses <=0 for the test rather than !. Best Regards, Steve Grubb

Probably, it's an obvious info, but I have not found anything in R FAQ concerning this feature/bug. The results of ks.test and wilcoxon.test (in the Mann-Whitney version, paired = 'FALSE') don't coincide with the results from the other statistical packages, e.g. Statistica, Medcalc, and (as for MW test) from the numerous online MW tests. E.g. Statistica p-value=0.0435353 Medcalc

Running this program: require ''win32/open3'' i, o, e, pid = Open3.popen3("c:/ruby/bin/ruby.exe -e\"sleep 10\"") i.close Gives this result: C:\_co\source\build\web\temp>ruby t.rb t.rb:5: [BUG] Segmentation fault ruby 1.8.2 (2004-06-29) [i386-mswin32] This application has requested the Runtime to terminate it in an unusual way. Please

Hi, I do want to use the Mann-Whitney test which ranks my data and then uses those ranks rather than the actual data. Here is the R code i am using: group1<- c(1.34,1.47,1.48,1.49,1.62,1.67,1.7,1.7,1.7,1.73,1.81,1.84,1.9,1.96,2, 2,2.19,2.29,2.29,2.41,2.41,2.46,2.5,2.6,2.8,2.8,3.07,3.3) > group2<-

I all I am trying to create a matrix for a network diagram: # 1. The following produces two dataframes. The table "place" is a dataframe of all places made from "tra" a tracing table that has the source place and destination place. The table "details" is a dataframe of all source and destination properties. src=rep(c(1:3),each=5) des=c(16:30) rsk=rep(3,5)

Aha! Although I'm not an everyday samba programmer, I have found a descrepancy between a windows code snippet running on a windows server, and on a samba (2.2.7a, but also earlier) systems. This causes the dreaded Desktop.ini problem (yay!) and probably some others too! The test code in windows: #include "stdafx.h" #include <windows.h> int main(int argc, char* argv[]) {

I followed the basic pointers for setting up pam + winbind on a debian based system ( http://www.ubuntuforums.org/showthread.php?t=5409 ) the member server is joined to the domain and authentication appears to work successfully, however when I attempt to login with a domain user with the proper password to a method that requires a session (ssh/su/xdm) or otherwise the session is immediately

...e domain. Went into System->Network Identification-> put the machine in a workgroup -> reboot -> Go back in and put the machine back into the domain. No manual deletion on the PDC was done. This was all done on the client. I reviewed LDAP backups and thus far have not found any descrepancies with the systems profiles before or after the power outage. The records indicate that there has not been any change in the LDAP information in the last 2 months for the machines which have the problem. Of course once the systems have been relogged into the domain the SambaNTPassword changes....

Hi, I would like some extra information on the 'cgh' package in R. I noticed that there isn't much activity regarding this package on the R and BioC mailing list (I googled it). I started using this package and I have few questions: 1/ As I have a custom tiling like array @8um features resolution (affy), I have a lot of probes to work with. I'm assuming it is correct to

Hi, Could someone please tell me how to perform a Mann-Whitney U test on a dataset with 2 groups where one group has more data values than another? I have split up my 2 groups into 2 columns in my .txt file i'm using with R. Here is the code i have so far... group1 <- c(LeafArea2) group2 <- c(LeafArea1) wilcox.test(group1, group2) This code works for datasets with the same number