similar to: Discussion: Spam on R-help

Hi Folks, I'm at the point where I'd normally install xgobi (which I've used and found very useful), but there is the alternative of ggobi (now at version 0.9). Would anyone with experience of both care to indicate the merits of either relative to the other? The other thing I can't make out too clearly from the ggobu website is quite what's involved in choosing between the

Re: Per the discussions about spam on this list. Sending a confirming message to an unregistered poster is not a good idea. The return/reply-to addresses in spam is forged, and that is just adding to some victims e-mail. Filtering runs the risk that a legitimate message gets lost, and the sender does not realize it. Filtering is also the most expensive and innefficient way to deal with

Hi, I'm not sure what the policy of this list is and I bet everyone has a spam filter, so nobody might have noticed, but we got spammed. Can anyone send mail to the list or do you have to subscribe first ? -- dag wieers, dag@wieers.com, http://dag.wieers.com/ -- [all I want is a warm bed and a kind word and unlimited power]

Gents, I have added the following to /etc/mail/sendmail.mc and rebuilt it trying to control spam. I still get about 25 spam messages a day. Is there something else that can help control spam? Thanks jerry --------------------------- dnl # dnl # dnsbl - DNS based Blackhole List/Black List/Rejection list dnl # See http://www.sendmail.org/m4/features.html#dnsbl dnl # FEATURE(`dnsbl',

Hi i want to fetchmail from a pop server and check every email to any rbl spamhaus,spamcop,etc and if match at any rbl the email will be deleted. It's possible to do this? Thanks Nightduke

Dear R programmers, is there a sensible explanation for the following behaviour? The second command seems not to be interpreted correctly. > seq(0.6, 0.9, by=0.1) == 0.8 [1] FALSE FALSE TRUE FALSE > seq(0.7, 0.9, by=0.1) == 0.8 [1] FALSE FALSE FALSE > c(0.7, 0.8, 0.9) == 0.8 [1] FALSE TRUE FALSE > seq(0.9, 0.7, by=-0.1) == 0.8 [1] FALSE TRUE FALSE I am running R version 1.7.1 on

Hi Folks, A Grumble ... The message I just sent to R-help about "The hidden costs of GPL ..." has evoked a "Challenge" response: Hi, You??ve just sent a message to diagnosticando at uol.com.br In order to confirm the sent message, please click here This confirmation is necessary because diagnosticando at uol.com.br uses Antispam UOL, a service that avoids unwanted

Hi Folks, While I was browsing in the R-help archives yesterday, I got curious about the time series of the sizes of the monthly archives in MB. This turned out to have an unexpected feature or two, which I leave to readers to explore for themselves. I'm now wondering at what point in time we might expect to be receiving 1000MB/month (30+MB/day). It's not that far away, it seems, but

Hi, I am running into a bit of a strange problem. I have a Perl script that creates usernames for mass-adding users. This script used to use the standard Linux 'adduser' command to add users to the system. I am now switching everything over to LDAP, including Samba. I have modified the custom Perl script to add users in bulk for smbldap-tools. system("smbldap_tools/smbldap-useradd -a

we just installed CENTOS 5.5 X86 (32 bits) on DELL server. After installed we also apply lated O.S. patches. This server have 64 GB RAM and run "2.6.18-194.26.1.el5PAE #1 SMP ". when I doing "cp", "mv". "ftp", .... it continue "kill" my process and pop up "out of memory" on /var/log/messages:

Greetings all, I am getting an error message that is stifling me. Any ideas? > ## Define Directories ## > load_from <- "/home/mcc/Dropbox/abrodsky/kegg_combine_data/" > save_to <- "/home/mcc/Dropbox/abrodsky/ttest_results/" > > ############################### > ## Define Columns To Compare ## > compareA <- "log_b_rich" > compareB

Hi, I am new to llvm. I create a global variable called "test_llvm_var" in the front end function pass like this: new GlobalVariable(*m, tmp->getType(), true, llvm::GlobalValue::ExternalLinkage, tmp, "test_llvm_var"); where tmp is a function. Then I tried to access this global variable in the back end MachineFunctionPass like this: MCContext&

Hi, There is a question that I am confused. I have a set of data like this: hsa-miR-205--GATA3 0.797882767 1.08E-13 hsa-miR-205--ITGB4 0.750217593 1.85E-11 hsa-miR-187--PGF 0.797604155 3.24E-11 hsa-miR-205--SERPINB5 0.744124886 3.28E-11 hsa-miR-205--PBX1 0.734487224 7.89E-11 hsa-miR-205--MCC 0.72499934 1.80E-10 hsa-miR-205--WNT5B 0.717705259 3.33E-10 hsa-miR-200c--PKN2 0.721746815

Someone got ahold of my information (actually, I know who they are - t2net.net - just not how to get back at them) and now I'm getting 4 phone calls a week upwards of 20 spams a day. I'm trying to put an end to the spam at least and the built-in stuff for Evolution isn't working as well as it should I did some Googling on procmail and fetchmail and spamassassin config files and much

No, I don't. But I’m sure it is not optimized because I can see this variable in the final binary file emitted. Do you mean if I don’t refer to this variable in the front end, then I can’t see it in the backend? (although it’s in the final binary file) Thank you! 2019年1月19日(土) 2:00 <paul.robinson at sony.com>: > Do you have a use of the new variable as well? If not, it might be

Smtp1.song.fi and smtp2.song.fi, our list servers, seem to have gotten listed in the bl.spamcop.net RBL. Spamcop listings are temporary and will time out, and because of occasional major false positives (or perhaps collateral damage?) like this I don't use it to reject mail. Anyone who IS using Spamcop to reject mail has missed much of today's list traffic. -- mail to this

I have two CSV files (exported from Excel), say file1 and file2. The have the same number of rows, and each has several columns, with names on the first line; and some of the columns in file1 are repeated in file2. Using the "foreign" package, I can read these in separately to dataframes say d1 and d2 with > d1<-read.csv("file1") >

I'm considering to move my mails from maildir/mbox to mdbox. One of my doubts is: how can I restore my mails when something terrribly wrong happens. I understand that I should use doveadm import "backup_location" "mailbox" all. So I try to import with: doveadm -v import "sdbox:~/Mail/dbox-temp/spamcop/reports/" "#Dbox/spamcop/reports" all #Dbox

I like this unofficial survey of hardware but wondering what MTA and spam filtering everyone is using. I do front end spam filtering for other servers as well. (junkemailfilter.com) I'm using Exim 4.61 SpamAssassin 3.11 Some version of DSpam that I'm experimenting with Most of my spam filtering happens on the Exim level. My mail spam filter server is: AMD 3800 Dual Core Athlon 2 100gb

I have had the same email address since 1997 (when microsoft stole bob.com from me thanks to network solutions...) In the early days I of course was free with my email and used it everwhere. Fast forward to 2012, some 15 years later. woof..the amount of spam sent to me has always just kept getting worse and worse. On my centos 5 server I just used sendmail with spamassassin and it killed a