similar to: Samba mappings not reconnected on WinXP reboot

I am running veritas, and I needed to install a UNIX AGENT from veritas on the linux box. It didnt make much sense to me that I couldn't just do a backup through the samba share... -----Original Message----- From: patrick.niessen@gerling.co.jp [mailto:patrick.niessen@gerling.co.jp] Sent: Monday, November 18, 2002 10:48 PM To: samba@lists.samba.org Subject: [Samba] RE: Backup Samba Using

I upgraded to 2.2.2 on Solaris 7, and changed the regestry requiressignorseal to 0. Although this new XP is able to do the samba mounts I need, I'd like to be able to back it to UNIX tapes with smbclient, but all I get is : /usr/local/samba/bin/smbclient -L //paulxp added interface ip=161.217.10.13 bcast=161.217.10.255 nmask=255.255.255.0 session request to PAULXP failed (Called name not

I find myself doing --8<---------------cut here---------------start------------->8--- tab <- table(...) tab <- tab[tab > 0] tab <- sort(tab,decreasing=TRUE) --8<---------------cut here---------------end--------------->8--- all the time. I am wondering if the "drop 0" (and maybe even sort?) can be effected by some magic argument to table() which I fail to discover

Is there a way for an apply-type function to return a data frame? the closest thing I think of is foo <- as.data.frame(sapply(...)) names(foo) <- c(....) is there a more "elegant" way? Thanks! -- Sam Steingold (http://sds.podval.org/) on Ubuntu 12.04 (precise) X 11.0.11103000 http://www.childpsy.net/ http://palestinefacts.org http://dhimmi.com http://honestreporting.com

I use samba 2.0.5 on a Solaris 7 Ultra 10 to provide UNIX disk mounts and backups to UNIX tape drives. But I have this new XP and I can't get smbclient to connect to it, although the XP is using all the samba shares R/W. All I get is: /usr/local/samba/bin/smbclient //paulxp/"My Documents" passwd -Tc mydocumentsxp.tar Added interface ip=161.217.10.13 bcast=161.217.10.255

Suppose I have a vector of strings: c("A1B2","A3C4","B5","C6A7B8") [1] "A1B2" "A3C4" "B5" "C6A7B8" where each string is a sequence of <column><value> pairs (fixed width, in this example both value and name are 1 character, in reality the column name is 6 chars and value is 2 digits). I need to

Hi, I had this message repeting many times in my logs: nss_ldap: reconnected to LDAP server ldap://172.26.1.10 after 1 attempt I've search everywhere on the web but the only response i had was : - network problem - slapd misconfiguration or poor slapd performance I finally noticed that i put "idletimeout 30" in slapd.conf. I didn't think it came from that because i find this

Hello, I have a problem that I'm really having trouble figuring out. I run CentOS Linux 5.5. I have three servers. All have been setup and running with LDAP authentication for a couple years with absolutely no problems. Unfortunately a couple weeks ago, we had a power outage. Ever since, I am having continuous problems with authentication to the server. I see in /var/log/messages

The Virus controllers wouldn't let me send the attachment... ----- Original Message ----- From: "Trevor Fraser" <trevor@systematic.co.za> To: "Tommy Eriksson" <tommy.eriksson@ctakt.com> Cc: <samba@lists.samba.org> Sent: Tuesday, September 10, 2002 6:32 PM Subject: Re: [Samba] Problem joing a W2KSP1 client to a Samba PDC (2.2.5). > Hi Tommy. > >

When a sparse matrix is multiplied by a regular one, the result is usually not sparse. However, when matrix.csr is multiplied by a regular matrix in R, a matrix.csr is produced. Is there a way to avoid this? Thanks! -- Sam Steingold (http://sds.podval.org/) on Ubuntu 12.04 (precise) X 11.0.11103000 http://www.childpsy.net/ http://palestinefacts.org http://truepeace.org

suppose I have two factor vectors: x <- as.factor(c("a","b","a","c","b","c")) y <- as.factor(c("b","a","a","c","c","b")) I can compute their entropies: entropy(table(x)) [1] 1.098612 using library(entropy) but it is not clear how to compute their mutual information

I just got this error: > library(igraph) > comp <- decompose.graph(gr) Error: protect(): protection stack overflow Error: protect(): protection stack overflow > what can I do? the digraph is, indeed, large (300,000 vertexes), but there are very many very small components (which I would rather not discard). PS. the doc for decompose.graph does not say which mode is the default. --

How do I read/write liblinear models to files? E.g., if I train a model using the command line interface, I might want to load it into R to look the histogram of the weights. Or I might want to train a model in R and then apply it using a command line interface. -- Sam Steingold (http://sds.podval.org/) on Ubuntu 12.04 (precise) X 11.0.11103000 http://www.childpsy.net/

All, I have a fairly old Compaq R3000h which is overdue for new batteries. Before I go and splash out a few hundred francs, I'd just need a quick sanity check - when I disconnect the power (UPS under load), it cuts out pretty much right away, so the batteries are flat (even though the charge indicator says full). When I reconnect the power, the surge triggers a 16A mains fuse. This sounds

all of a sudden, after a SparseM upgrade(?) I get this error: > str(z) Formal class 'matrix.csr' [package "SparseM"] with 4 slots ..@ ra : num [1:85372672] -0.4288 0.0397 0.0104 -0.1843 -0.1203 ... ..@ ja : int [1:85372672] 1 2 3 4 5 6 7 8 9 10 ... ..@ ia : int [1:699777] 1 123 245 367 489 611 733 855 977 1099 ... ..@ dimension: int [1:2] 699776 122

I need an analogue of "uniq -c" for a data frame. xtabs(), although dog slow, would have footed the bill nicely: --8<---------------cut here---------------start------------->8--- > x <- data.frame(a=1:32,b=1:32,c=1:32,d=1:32,e=1:32) > system.time(subset(as.data.frame(xtabs( ~. , x )), Freq != 0 )) user system elapsed 12.788 4.288 17.224 --8<---------------cut

Dear Michael, I just have the same problem you have with samba 2.2.3a on a Suse 8.0 machine and win xp pro. Besides I performed all the steps below. >From my postings I learned that the prob might have something to do with a wrong mapping in smbusers file. It seems to me that the workstation account is mapped to user nobody. Up to now I was not able to solve the prob. Do you have any ideas

I have a graph with edge and vertex weights, stored in two data frames: --8<---------------cut here---------------start------------->8--- vertices <- data.frame(vertex=c("a","b","c","d"),weight=c(1,2,1,3)) edges <-

I did this: nb <- naiveBayes(users, platform) pl <- predict(nb,users) nrow(users) ==> 314781 ncol(users) ==> 109 1. naiveBayes() was quite fast (~20 seconds), while predict() was slow (tens of minutes). why? 2. the predict results were completely off the mark (quite the opposite of the expected overfitting). suffice it to show the tables: pl: android blackberry ipad

Hi, I have a data frame df and a list of names of columns that I want to turn into factors: df.names <- attr(df,"names") sapply(factors, function (name) { pos <- match(name,df.names) if (is.na(pos)) stop(paste(name,": no such column\n")) df[[pos]] <- factor(df[[pos]]) cat(name,"(",pos,"):",is.factor(df[[pos]]),"\n")