similar to: CIFS VFS errors on strtoUCS in messages log

Hai, Ik have tried the option: follow symlinks = yes, but this also doesnt work. My workstation is XP SP3. Im also having some CIFS VFS messages on my console, kern.log.0:Mar 30 20:47:52 ms249-lin-001 kernel: [12804.264823] CIFS VFS: strtoUCS: char2uni of -121 returned -22 kern.log.0:Mar 30 20:47:52 ms249-lin-001 kernel: [12804.323034] CIFS VFS: strtoUCS: char2uni of -127 returned -22

I had found the author's (Wolfgang Viechtbauer) earlier meta-analytic code in R, MiMa, useful. so I have been exploring metafor using an example dataset from MiMa. metafor provides a lot more. However, MiMa provided parameter estimates, standard errors, z values, etc. for individual moderators in the meta-analysis, but I don't see how to obtain these from metafor. Have you any help

Dear Wolfgang Viechtbauer and list members: I have discovered your "MiMa" function for fitting meta-analytic mixed-effects models through an earlier discussion on this list. I think it is extremely useful and fills an important gap. In particular, since it is programmed so transparently, it is easy to adapt it for one's own needs. (For example, I have found it easy to identify

I would like to combine time-series data to test for correlations and interactions using random and fixed effects meta-analysis. So, I am looking for the right packages and documentation. I know about meta and rmeta packages of R. Are there any more? What are the diffrences in brief? Can you please suggest some references that could be used as a guide for meta-analysis in R (or S-plus)?

I'm working for a higher education institution, and we have Novell Netware for our file sharing services. We are looking at what migration paths are available. I know samba works, we use it on a number of Solaris and Linux boxes and have it authenticate against our Windows ADS. Manually editing samba confiiguration files for up to a hundred users is OK. The challenge is how do you manage a

Dear List, I am (again) looking at meta-regression as a way to refine meta-analytic results. What I want to do is to assess the impact of some fixed factors on the results of a meta-analysis. Some of them may be crossed with the main factor of the meta-analysis (e. g. clinical presentation of a disease, defining subgroups in each of the studies under analysis), some of them may be a grouping

Hi, I'm having a problem using LME and hopefully I can get some help. Here is what I'm doing: I have a model like this: yi = alpha + theta * xi + beta * zi + error, errors are normally distributed mean 0, var sigma^2 xi and zi are generated from normal distributions within a specified range. True values of alpha, theta, beta and sigma^2 are chosen with a specific mean and variane

Dear colleagues, I'm conducting a meta-analysis of studies evaluating adherence of HIV-positive drug users into AIDS treatment, therefore I'm looking for some advice and syntax suggestion for running the meta-regression using proportions, not the usual OR/RR frequently used on RCT studies. Have already searched already several handbooks, R-manuals, mailing lists, professors, but... not

R-experts: In 2002, Hans Van Houwelingen et al. published a tutorial on how to do meta-regression in Statistics in Medicine. They used the classic BCG dataset of Colditz to demonstrate correct methodology and computed the results using PROC MIXED in SAS. In trying to duplicate the results presented in this paper, I have discovered that I can reproduce certain items with lmer but not

We are migrating old FreeBSD machines to Redhat EL 5. On FreeBSD, we have previously used "valid users =" with sucess. "valid users" was never a group, but always a list of user names like: valid users = david joe henry Moving to Redhat Enterprise 5, I used the system authentication GUI to set up Winbind and Kerberos and pam and nsswitch.conf. We authenticate off AD, and do

Hello. Is it possible to configure Asterisk to preserve specific SIP INVITE headers when setting up a call? Specifically, I have a custom SIP client that sends an additional header in the INVITE request when originating a call. This is to request that the call is auto-answered by the destination phone. i.e. Call-Info: <sip:192.168.100.50>;answer-after=0 If I use wireshark to sniff

I have a meta-analysis dataset which I would like to analyze as a mixed model, where the y-variable is a measure of effect size, the random effect is the study from which the effect size was extracted, and the fixed effect is a categorical explanatory variable. The complication is that we often have multiple estimates of effect size from a single study (e.g. the experiment was repeated in

Our Solaris 5.10 was running Samba 3.0 with ADS security against winbind and krb5.conf, and all users were able to access it from any Windows system. Following the upgrade to a new AD server running 2008 RC2, we had to upgrade samba on most Unix systems. On Solaris, the new version was 3.5.8 from Sun. I found more config options were required to get the [homes] section to succeed, although I

Hi I'm conducing a meta-analysis using the meta package. Here's a bit of code that works fine - tmp <- metacont(samplesize.2, pctdropout.2, sddropout.2, samplesize.1, pctdropout.1, sddropout.1, data=Dataset, sm="WMD") I would now like to control for a couple of variables (continuous and categorical) that aren't in the equation. Is meta

I have the following vector of strings (shown only the first 3 elements) > desc[1:3] [1] "hsa-let-7a MIMAT0000062 Homo sapiens let-7a" [2] "hsa-let-7a* MIMAT0004481 Homo sapiens let-7a*" [3] "hsa-let-7a-2* MIMAT0010195 Homo sapiens let-7a-2*" > is.vector(desc) [1] TRUE > A <- unlist(strsplit(desc[1:3], " ")) > A [1]

Dear R-community, I'm struggling with a paper that reports only fragmented results of a 2by2by3 experimental design. However, Means and SDs for all cells are given. Does anyone know a package/function that helps computing an ANOVA with only Means and SDs as input (resulting in some sort of effect size and significance test)? The reason why I'm interested is simple: I'm conducting a

Hi all! I have setup dovecot (RPM) on a Fedora Core 2 machine using LDAP for authentication. It all seems to work pretty well, except for simultaneous logins. I am using mbox files to store the mail as follows (from /etc/dovecot.conf): default_mail_env = mbox:~/.mail/:INBOX=/var/mail/%u:INDEX=MEMORY So the INBOX file is stored in /var/mail, other mailfolders are stored in the users

Hello everybody. I'm experimenting this problem with samba 3.0.2a and linux 2.4.25 with ReiserFS. When I copy (put) a large file (5GB) from a Windows NT terminal server sp6a to the samba-linux box, the md5sum is different between the two file. Files size are identical. I'm using this command to copy these files from windows to samba: xcopy f:\ \\mimas\backup\exchange /e /c /h /r I have

I've been able to use security = ads in smb.conf, and connect OK, but it must be falling back to domain. When I run net ads join I get the error (debug trace below): ads_connect: No logon servers Here is my krb5.conf: [logging] default = FILE:/var/log/krb5libs.log kdc = FILE:/var/log/krb5kdc.log admin_server = FILE:/var/log/kadmind.log [libdefaults] default_realm = BEER [realms] BEER

Hi, I would like to do a meta-analysis, i.e., a mixed-effects regression, but I don't seem to get what I want using both the nlme or metafor packages. My question: is there indeed no way to do it? And if so, is there another package I could use? Here are the details: In my meta-analysis I'm comparing different studies that report a measure at time zero and after a certain followup